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ORCIDJocelyn Chanussot
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- affiliation: Grenoble Institute of Technology, France
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Journal Articles
- 2024
[j364]Chen Yang, Biao Hou, Bo Ren, Xu Liu, Jocelyn Chanussot
, Shuang Wang, Licheng Jiao:
SSDFL: Spatial scattering decomposition feature learning for PolSAR image. Int. J. Appl. Earth Obs. Geoinformation 128: 103702 (2024)- [j363]Jie Deng, Danfeng Hong, Chenyu Li, Jing Yao, Ziqian Yang, Zhijian Zhang, Jocelyn Chanussot:
RustQNet: Multimodal deep learning for quantitative inversion of wheat stripe rust disease index. Comput. Electron. Agric. 225: 109245 (2024) - [j362]Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot:
A novel deep Siamese framework for burned area mapping Leveraging mixture of experts. Eng. Appl. Artif. Intell. 133: 108280 (2024) - [j361]Janine Florath, Jocelyn Chanussot, Sina Keller:
Road Accessibility during Natural Hazards Based on Volunteered Geographic Information Data and Network Analysis. ISPRS Int. J. Geo Inf. 13(4): 107 (2024) - [j360]Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani:
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization. Neurocomputing 598: 128062 (2024) - [j359]Chenyu Li, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, Jocelyn Chanussot:
CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging. Inf. Fusion 108: 102408 (2024) - [j358]Antoine Bralet, Emmanuel Trouvé, Jocelyn Chanussot, Abdourrahmane M. Atto:
ISSLIDE: A New InSAR Dataset for Slow SLIding Area DEtection With Machine Learning. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j357]Guocheng Li, Bobo Xi, Yufei He, Tie Zheng, Yunsong Li, Changbin Xue, Jocelyn Chanussot:
Diamond-Unet: A Novel Semantic Segmentation Network Based on U-Net Network and Transformer for Deep Space Rock Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j356]Qihan Xu, Bobo Xi, Haitao Xu, Yun Huang, Yunsong Li, Jocelyn Chanussot:
Small Object-Aware Video Coding for Machines via Feature-Motion Synergy. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j355]Chen Yang, Yue Hu, Biao Hou, Bo Ren, Jocelyn Chanussot, Licheng Jiao:
Model-Based Decomposition Feature Learning With Adversarial Prior. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j354]Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot:
SpectralGPT: Spectral Remote Sensing Foundation Model. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5227-5244 (2024) - [j353]Liyao Song, Haiwei Li, Song Liu, Junyu Chen, Jiancun Fan, Quan Wang, Jocelyn Chanussot:
Attention Network with Outdoor Illumination Variation Prior for Spectral Reconstruction from RGB Images. Remote. Sens. 16(1): 180 (2024) - [j352]Benyamin Hosseiny, Masoud MahdianPari, MohammadAli Hemati, Ali Radman, Fariba Mohammadimanesh, Jocelyn Chanussot:
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1035-1052 (2024) - [j351]Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiaoxiang Zhu:
Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8509-8526 (2024) - [j350]Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong:
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024) - [j349]Xiaomeng Tan, Bobo Xi, Jiaojiao Li, Tie Zheng, Yunsong Li, Changbin Xue, Jocelyn Chanussot:
Review of Zero-Shot Remote Sensing Image Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11274-11289 (2024) - [j348]Xiaomeng Tan, Bobo Xi, Haitao Xu, Yunsong Li, Changbin Xue, Jocelyn Chanussot:
MFINet: A Novel Zero-Shot Remote Sensing Scene Classification Network Based on Multimodal Feature Interaction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11670-11684 (2024) - [j347]Masoomeh Gomroki, Mahdi Hasanlou, Jocelyn Chanussot, Danfeng Hong:
EMYNet-BDD: EfficientViTB Meets Yolov8 in the Encoder-Decoder Architecture for Building Damage Detection Using Postevent Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13120-13134 (2024) - [j346]Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot:
Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13966-13980 (2024) - [j345]Mingshuo Cai, Bobo Xi, Jiaojiao Li, Shou Feng, Yunsong Li, Zan Li, Jocelyn Chanussot:
Mind the Gap: Multilevel Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j344]Alessia Carbone, Rocco Restaino, Gemine Vivone, Jocelyn Chanussot:
Model-Based Super-Resolution for Sentinel-5P Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j343]Chenwei Deng, Jiapeng Wu, Yuqi Han, Wenzheng Wang, Jocelyn Chanussot:
Learning a Robust Topological Relationship for Online Multiobject Tracking in UAV Scenarios. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j342]Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot:
Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j341]Lin He, Zhou Fang, Jun Li, Jocelyn Chanussot, Antonio Plaza:
Two Spectral-Spatial Implicit Neural Representations for Arbitrary-Resolution Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-21 (2024) - [j340]Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni, Min Huang, Jocelyn Chanussot:
Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j339]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. IEEE Trans. Geosci. Remote. Sens. 62: 1-31 (2024) - [j338]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
Fast Semisupervised Unmixing Using Nonconvex Optimization. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j337]Longfei Ren, Lianru Gao, Minghua Wang, Xu Sun, Jocelyn Chanussot:
HADGSM: A Unified Nonconvex Framework for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j336]Biqi Wang, Yang Xu, Zebin Wu, Shangdong Zheng, Zhihui Wei, Jocelyn Chanussot:
Hyperspectral Images Single-Source Domain Generalization Based on Nonlinear Sample Generation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j335]Xin Wu, Zhanchao Huang, Li Wang, Jocelyn Chanussot, Jiaojiao Tian:
Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j334]Jie Xie, Leyuan Fang, Cheng Wu, Feng Xie, Jocelyn Chanussot:
Blind Spectral Super-Resolution by Estimating Spectral Degradation Between Unpaired Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j333]Xichuan Zhou, Fu Liang, Lihui Chen, Haijun Liu, Qianqian Song, Gemine Vivone, Jocelyn Chanussot:
MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j332]Rufan Zhou, Dou Quan, Shuang Wang, Chonghua Lv, Xianwei Cao, Jocelyn Chanussot, Yi Li, Licheng Jiao:
A Unified Deep Learning Network for Remote Sensing Image Registration and Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j331]Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Jocelyn Chanussot:
Local and soft feature selection for value function approximation in batch reinforcement learning for robot navigation. J. Supercomput. 80(8): 10720-10745 (2024) - [j330]Dou Quan, Shuang Wang, Ning Huyan, Yi Li, Ruiqi Lei, Jocelyn Chanussot, Biao Hou, Licheng Jiao:
A Concurrent Multiscale Detector for End-to-End Image Matching. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3560-3574 (2024) - [j329]Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao:
AUD-Net: A Unified Deep Detector for Multiple Hyperspectral Image Anomaly Detection via Relation and Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6835-6849 (2024) - [j328]Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot:
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6991-7005 (2024) - 2023
- [j327]Na Liu, Wei Li, Yinjian Wang, Ran Tao, Qian Du, Jocelyn Chanussot:
A survey on hyperspectral image restoration: from the view of low-rank tensor approximation. Sci. China Inf. Sci. 66(4) (2023) - [j326]Utpal Nandi, Swalpa Kumar Roy, Danfeng Hong, Xin Wu, Jocelyn Chanussot:
TAttMSRecNet: Triplet-attention and multiscale reconstruction network for band selection in hyperspectral images. Expert Syst. Appl. 212: 118797 (2023) - [j325]Na Liu, Wei Li, Xian Sun, Ran Tao, Jocelyn Chanussot:
Remote Sensing Image Fusion With Task-Inspired Multiscale Nonlocal-Attention Network. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j324]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
SUnAA: Sparse Unmixing Using Archetypal Analysis. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j323]Seyd Teymoor Seydi, Yousef Kanani-Sadat, Mahdi Hasanlou, Roya Sahraei, Jocelyn Chanussot, Meisam Amani:
Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping. Remote. Sens. 15(1): 192 (2023) - [j322]Gemine Vivone, Andrea Garzelli, Yang Xu, Wenzhi Liao, Jocelyn Chanussot:
Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 166-179 (2023) - [j321]Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot, Pedram Ghamisi:
BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4232-4247 (2023) - [j320]Dou Quan, Huiyuan Wei, Shuang Wang, Yi Li, Jocelyn Chanussot, Yanhe Guo, Biao Hou, Licheng Jiao:
Efficient and Robust: A Cross-Modal Registration Deep Wavelet Learning Method for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4739-4754 (2023) - [j319]Masoomeh Gomroki, Mahdi Hasanlou, Jocelyn Chanussot:
Automatic 3D Multiple Building Change Detection Model Based on Encoder-Decoder Network Using Highly Unbalanced Remote Sensing Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10311-10325 (2023) - [j318]Bobo Xi, Jiaojiao Li, Yan Diao, Yunsong Li, Zan Li, Yan Huang, Jocelyn Chanussot:
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1535-1548 (2023) - [j317]Minghua Wang, Qiang Wang, Danfeng Hong, Swalpa Kumar Roy, Jocelyn Chanussot:
Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection. IEEE Trans. Cybern. 53(1): 679-691 (2023) - [j316]Ran Ran, Liang-Jian Deng, Tai-Xiang Jiang, Jin-Fan Hu, Jocelyn Chanussot, Gemine Vivone:
GuidedNet: A General CNN Fusion Framework via High-Resolution Guidance for Hyperspectral Image Super-Resolution. IEEE Trans. Cybern. 53(7): 4148-4161 (2023) - [j315]Bohan Chen, Yifei Lou, Andrea L. Bertozzi, Jocelyn Chanussot:
Graph-Based Active Learning for Nearly Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j314]Rong Chen, Gemine Vivone, Guanghui Li, Chenglong Dai, Jocelyn Chanussot:
An Offset Graph U-Net for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j313]Lihui Chen, Gemine Vivone, Zihao Nie, Jocelyn Chanussot, Xiaomin Yang:
Spatial Data Augmentation: Improving the Generalization of Neural Networks for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j312]Chenwei Deng, Donglin Jing, Yuqi Han, Jocelyn Chanussot:
Toward Hierarchical Adaptive Alignment for Aerial Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j311]Lin He, Dahan Xi, Jun Li, Honghao Lai, Antonio Plaza, Jocelyn Chanussot:
Dynamic Hyperspectral Pansharpening CNNs. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j310]Danfeng Hong, Jing Yao, Chenyu Li, Deyu Meng, Naoto Yokoya, Jocelyn Chanussot:
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j309]Jingtao Hu, Junyu Gao, Yuan Yuan, Jocelyn Chanussot, Qi Wang:
LGNet: Location-Guided Network for Road Extraction From Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j308]Nan Huang, Liang Xiao, Qichao Liu, Jocelyn Chanussot:
S2DMSC: A Self-Supervised Deep Multilevel Subspace Clustering Approach for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j307]Chenyu Li, Bing Zhang, Danfeng Hong, Jing Yao, Jocelyn Chanussot:
LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j306]Hongyi Liu, Youkang Lu, Zebin Wu, Qian Du, Jocelyn Chanussot, Zhihui Wei:
Spectral Variability Bayesian Unmixing for Hyperspectral Sequence in Wavelet Domain. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j305]Huan Ni, Qingshan Liu, Haiyan Guan, Hong Tang, Jocelyn Chanussot:
Category-Level Assignment for Cross-Domain Semantic Segmentation in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j304]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j303]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j302]Bo Ren, Zhao Wang, Biao Hou, Bo Liu, Zitong Wu, Jocelyn Chanussot, Licheng Jiao:
Incremental Land Cover Classification via Label Strategy and Adaptive Weights. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j301]Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, Behnood Rasti, Antonio Plaza, Jocelyn Chanussot:
Multimodal Fusion Transformer for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j300]Pourya Shamsolmoali, Jocelyn Chanussot, Huiyu Zhou, Yue Lu:
Efficient Object Detection in Optical Remote Sensing Imagery via Attention-Based Feature Distillation. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j299]Yan Shi, Aiyong Tan, Na Liu, Wei Li, Ran Tao, Jocelyn Chanussot:
A Pansharpening Method Based on Hybrid-Scale Estimation of Injection Gains. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j298]Minghua Wang, Danfeng Hong, Bing Zhang, Longfei Ren, Jing Yao, Jocelyn Chanussot:
Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j297]Junjie Wang, Wei Li, Mengmeng Zhang, Jocelyn Chanussot:
Large Kernel Sparse ConvNet Weighted by Multi-Frequency Attention for Remote Sensing Scene Understanding. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j296]Junjie Wang, Wei Li, Mengmeng Zhang, Ran Tao, Jocelyn Chanussot:
Remote-Sensing Scene Classification via Multistage Self-Guided Separation Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j295]Peng Wang, Yulan Wang, Bo Huang, Liguo Wang, Xiwang Zhang, Henry Leung, Jocelyn Chanussot:
Poissonian Blurred Hyperspectral Imagery Denoising Based on Variable Splitting and Penalty Technique. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j294]Jing Yao, Danfeng Hong, Haipeng Wang, Hao Liu, Jocelyn Chanussot:
UCSL: Toward Unsupervised Common Subspace Learning for Cross-Modal Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j293]Jing Yao, Bing Zhang, Chenyu Li, Danfeng Hong, Jocelyn Chanussot:
Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j292]Xin Wu, Danfeng Hong, Jocelyn Chanussot:
UIU-Net: U-Net in U-Net for Infrared Small Object Detection. IEEE Trans. Image Process. 32: 364-376 (2023) - [j291]Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Jie Huang, Jocelyn Chanussot, Gemine Vivone:
LRTCFPan: Low-Rank Tensor Completion Based Framework for Pansharpening. IEEE Trans. Image Process. 32: 1640-1655 (2023) - [j290]Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal:
Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. IEEE Trans. Image Process. 32: 4649-4663 (2023) - [j289]Fei Ye, Zebin Wu, Xiuping Jia, Jocelyn Chanussot, Yang Xu, Zhihui Wei:
Bayesian Nonlocal Patch Tensor Factorization for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 32: 5877-5892 (2023) - [j288]Tian-Jiang Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone:
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9088-9101 (2023) - [j287]Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yuchao Xiao, Qian Du, Jocelyn Chanussot:
Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9337-9351 (2023) - [j286]Fatemeh Fathinezhad, Peyman Adibi, Bijan Shoushtarian, Hamidreza Baradaran Kashani, Jocelyn Chanussot:
Soft dimensionality reduction for reinforcement data clustering. World Wide Web (WWW) 26(5): 3027-3054 (2023) - 2022
- [j285]Bo Ren, Shibin Ma, Biao Hou, Danfeng Hong, Jocelyn Chanussot, Jianlong Wang, Licheng Jiao:
A dual-stream high resolution network: Deep fusion of GF-2 and GF-3 data for land cover classification. Int. J. Appl. Earth Obs. Geoinformation 112: 102896 (2022) - [j284]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep learning in multimodal remote sensing data fusion: A comprehensive review. Int. J. Appl. Earth Obs. Geoinformation 112: 102926 (2022) - [j283]Haoyang Yu, Jinxue Chi, Xiao-Di Shang, Xueji Shen, Jocelyn Chanussot, Yimin Shi:
Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery. IET Image Process. 16(13): 3557-3566 (2022) - [j282]Huan Ni, Jocelyn Chanussot, Xiaonan Niu, Hong Tang, Haiyan Guan:
Reverse Difference Network for Highlighting Small Objects in Aerial Images. ISPRS Int. J. Geo Inf. 11(9): 494 (2022) - [j281]Haixia Bi, Jing Yao, Zhiqiang Wei, Danfeng Hong, Jocelyn Chanussot:
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j280]Zhu Han, Danfeng Hong, Lianru Gao, Swalpa Kumar Roy, Bing Zhang, Jocelyn Chanussot:
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j279]Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot:
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j278]Danfeng Hong, Xin Wu, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j277]Minghua Wang, Qiang Wang, Jocelyn Chanussot, Danfeng Hong:
Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j276]Xin Wu, Danfeng Hong, Zhanchao Huang, Jocelyn Chanussot:
Infrared Small Object Detection Using Deep Interactive U-Net. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j275]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Semi-Supervised Mixtures of Factor Analyzers Feature Extraction for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j274]Xing Hu, Chun Xie, Zhe Fan, Qianqian Duan, Dawei Zhang, Linhua Jiang, Xian Wei, Danfeng Hong, Guoqiang Li, Xinhua Zeng, Wenming Chen, Dongfang Wu, Jocelyn Chanussot:
Hyperspectral Anomaly Detection Using Deep Learning: A Review. Remote. Sens. 14(9): 1973 (2022) - [j273]Bo Ren, Mengqian Chen, Biao Hou, Danfeng Hong, Shibin Ma, Jocelyn Chanussot, Licheng Jiao:
PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation. Remote. Sens. 14(13): 3117 (2022) - [j272]Colin Prieur, Antoine Rabatel, Jean-Baptiste Thomas, Ivar Farup, Jocelyn Chanussot:
Machine Learning Approaches to Automatically Detect Glacier Snow Lines on Multi-Spectral Satellite Images. Remote. Sens. 14(16): 3868 (2022) - [j271]Yunsong Li, Bobo Xi, Jiaojiao Li, Rui Song, Yuchao Xiao, Jocelyn Chanussot:
SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 609-622 (2022) - [j270]Yanling Miao, Mulin Chen, Yuan Yuan, Jocelyn Chanussot, Qi Wang:
Hyperspectral Imagery Classification via Random Multigraphs Ensemble Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 641-653 (2022) - [j269]Muhammad Ahmad, Sidrah Shabbir, Swalpa Kumar Roy, Danfeng Hong, Xin Wu, Jing Yao, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Jocelyn Chanussot:
Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 968-999 (2022) - [j268]Bing Zhang, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, Lianru Gao:
Progress and Challenges in Intelligent Remote Sensing Satellite Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1814-1822 (2022) - [j267]Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot:
A Quadratic Morphological Deep Neural Network Fusing Radar and Optical Data for the Mapping of Burned Areas. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4194-4216 (2022) - [j266]Lin He, Jiawei Zhu, Jun Li, Antonio Plaza, Jocelyn Chanussot, Zhuliang Yu:
CNN-Based Hyperspectral Pansharpening With Arbitrary Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - [j265]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Min Huang, Jocelyn Chanussot:
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j264]Muhammad Ahmad, Usman Ghous, Danfeng Hong, Adil Mehmood Khan, Jing Yao, Shaohua Wang, Jocelyn Chanussot:
A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j263]Uzair Aslam Bhatti, Zhaoyuan Yu, Jocelyn Chanussot, Zeeshan Zeeshan, Linwang Yuan, Wen Luo, Saqib Ali Nawaz, Mughair Aslam Bhatti, Qurat Ul Ain, Anum Mehmood:
Local Similarity-Based Spatial-Spectral Fusion Hyperspectral Image Classification With Deep CNN and Gabor Filtering. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j262]Marco Carpentiero, Gemine Vivone, Rocco Restaino, Paolo Addesso, Jocelyn Chanussot:
An Optimization Procedure for Robust Regression-Based Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j261]Lihui Chen, Zhibing Lai, Gemine Vivone, Gwanggil Jeon, Jocelyn Chanussot, Xiaomin Yang:
ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images With Arbitrary Numbers of Bands. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j260]Lianru Gao, Zhu Han, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j259]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j258]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing: Insights From Attention Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j257]Lin He, Jinhua Xie, Jun Li, Antonio Plaza, Jocelyn Chanussot, Jiawei Zhu:
Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j256]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j255]Nan Huang, Liang Xiao, Jianjun Liu, Jocelyn Chanussot:
Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j254]Nan Huang, Liang Xiao, Yang Xu, Jocelyn Chanussot:
A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j253]Ning Huyan, Xiangrong Zhang, Dou Quan, Jocelyn Chanussot, Licheng Jiao:
Cluster-Memory Augmented Deep Autoencoder via Optimal Transportation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j252]Yunsong Li, Yuxuan Zheng, Jiaojiao Li, Rui Song, Jocelyn Chanussot:
Hyperspectral Pansharpening With Adaptive Feature Modulation-Based Detail Injection Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j251]Tianzhu Liu, Yanfeng Gu, Wenyong Yu, Xiuping Jia, Jocelyn Chanussot:
Separable Coupled Dictionary Learning for Large-Scene Precise Classification of Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j250]Xun Liu, Danfeng Hong, Jocelyn Chanussot, Baojun Zhao, Pedram Ghamisi:
Modality Translation in Remote Sensing Time Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j249]Na Liu, Wei Li, Ran Tao, Qian Du, Jocelyn Chanussot:
Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j248]Hongyi Liu, Youkang Lu, Zebin Wu, Qian Du, Jocelyn Chanussot, Zhihui Wei:
Bayesian Unmixing of Hyperspectral Image Sequence With Composite Priors for Abundance and Endmember Variability. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j247]Wenfei Luo, Lianru Gao, Danfeng Hong, Jocelyn Chanussot:
Endmember Purification With Affine Simplicial Cone Model. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j246]Ying Qu, Hairong Qi, Chiman Kwan, Naoto Yokoya, Jocelyn Chanussot:
Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j245]Weiqiang Rao, Lianru Gao, Ying Qu, Xu Sun, Bing Zhang, Jocelyn Chanussot:
Siamese Transformer Network for Hyperspectral Image Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j244]Behnood Rasti, Bikram Koirala, Paul Scheunders, Jocelyn Chanussot:
MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j243]Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, Muhammad Ahmad, Antonio Plaza, Jocelyn Chanussot:
Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j242]Swalpa Kumar Roy, Purbayan Kar, Danfeng Hong, Xin Wu, Antonio Plaza, Jocelyn Chanussot:
Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j241]Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang:
Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j240]Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang:
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j239]David Alejandro Jimenez Sierra, David Alfredo Quintero-Olaya, Juan Carlos Alvear-Muñoz, Hernán Darío Benítez-Restrepo, Juan Felipe Florez-Ospina, Jocelyn Chanussot:
Graph Learning Based on Signal Smoothness Representation for Homogeneous and Heterogeneous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j238]Xin Wu, Danfeng Hong, Jocelyn Chanussot:
Convolutional Neural Networks for Multimodal Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j237]Jie Xie, Leyuan Fang, Bob Zhang, Jocelyn Chanussot, Shutao Li:
Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j236]Chen Yang, Biao Hou, Jocelyn Chanussot, Yue Hu, Bo Ren, Shuang Wang, Licheng Jiao:
N-Cluster Loss and Hard Sample Generative Deep Metric Learning for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j235]Chen Yang, Biao Hou, Xianpeng Guo, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao:
Reconstruction Error-Based Decomposition Feature Selection for PolSAR Image. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j234]Chen Yang, Biao Hou, Qian Wu, Bo Ren, Jocelyn Chanussot, Shuang Wang, Licheng Jiao:
PDFL: Polarimetric Decomposition Feature Learning via Deep Autoencoder. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j233]Jing Yao, Xiangyong Cao, Danfeng Hong, Xin Wu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j232]Jing Yao, Danfeng Hong, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j231]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Hyperspectral Image Denoising Using Spectral-Spatial Transform-Based Sparse and Low-Rank Representations. IEEE Trans. Geosci. Remote. Sens. 60: 1-25 (2022) - [j230]Ke Zheng, Lianru Gao, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
NonRegSRNet: A Nonrigid Registration Hyperspectral Super-Resolution Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j229]Yuxuan Zheng, Jiaojiao Li, Yunsong Li, Jie Guo, Xianyun Wu, Yanzi Shi, Jocelyn Chanussot:
Edge-Conditioned Feature Transform Network for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j228]Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Danfeng Hong, Jocelyn Chanussot:
Few-Shot Learning With Class-Covariance Metric for Hyperspectral Image Classification. IEEE Trans. Image Process. 31: 5079-5092 (2022) - [j227]Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao:
Unsupervised Outlier Detection Using Memory and Contrastive Learning. IEEE Trans. Image Process. 31: 6440-6454 (2022) - [j226]Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao:
Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3372-3386 (2022) - [j225]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6518-6531 (2022) - [j224]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot:
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7251-7265 (2022) - 2021
- [j223]Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, Jefersson A. dos Santos:
An Introduction to Deep Morphological Networks. IEEE Access 9: 114308-114324 (2021) - [j222]Yanfeng Gu, Tianzhu Liu, Guoming Gao, Guangbo Ren, Yi Ma, Jocelyn Chanussot, Xiuping Jia:
Multimodal hyperspectral remote sensing: an overview and perspective. Sci. China Inf. Sci. 64(2) (2021) - [j221]Minghua Wang, Qiang Wang, Jocelyn Chanussot:
Tensor Low-Rank Constraint and $l_0$ Total Variation for Hyperspectral Image Mixed Noise Removal. IEEE J. Sel. Top. Signal Process. 15(3): 718-733 (2021) - [j220]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Deep Half-Siamese Networks for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 18(11): 1996-2000 (2021) - [j219]Eduardo Tusa, Jean-Matthieu Monnet, Jean-Baptiste Barré, Mauro Dalla Mura, Michele Dalponte, Jocelyn Chanussot:
Individual Tree Segmentation Based on Mean Shift and Crown Shape Model for Temperate Forest. IEEE Geosci. Remote. Sens. Lett. 18(12): 2052-2056 (2021) - [j218]Zebin Wu, Jin Sun, Yi Zhang, Zhihui Wei, Jocelyn Chanussot:
Recent Developments in Parallel and Distributed Computing for Remotely Sensed Big Data Processing. Proc. IEEE 109(8): 1282-1305 (2021) - [j217]Ali Pournemat, Peyman Adibi, Jocelyn Chanussot:
Semisupervised charting for spectral multimodal manifold learning and alignment. Pattern Recognit. 111: 107645 (2021) - [j216]Xuemei Zhao, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China. Remote. Sens. 13(21): 4194 (2021) - [j215]Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot:
DSMNN-Net: A Deep Siamese Morphological Neural Network Model for Burned Area Mapping Using Multispectral Sentinel-2 and Hyperspectral PRISMA Images. Remote. Sens. 13(24): 5138 (2021) - [j214]Yanbiao Ma, Yuxin Li, Kexin Feng, Yu Xia, Qi Huang, Hongyan Zhang, Colin Prieur, Giorgio Licciardi, Hana Malha, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12375-12385 (2021) - [j213]Yang Xu, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
Hyperspectral Computational Imaging via Collaborative Tucker3 Tensor Decomposition. IEEE Trans. Circuits Syst. Video Technol. 31(1): 98-111 (2021) - [j212]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu:
Joint and Progressive Subspace Analysis (JPSA) With Spatial-Spectral Manifold Alignment for Semisupervised Hyperspectral Dimensionality Reduction. IEEE Trans. Cybern. 51(7): 3602-3615 (2021) - [j211]Minghua Wang, Qiang Wang, Jocelyn Chanussot, Dan Li:
Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial-Spectral Total Variation. IEEE Trans. Geosci. Remote. Sens. 59(1): 488-507 (2021) - [j210]Rocco Restaino, Gemine Vivone, Paolo Addesso, Jocelyn Chanussot:
Hyperspectral Sharpening Approaches Using Satellite Multiplatform Data. IEEE Trans. Geosci. Remote. Sens. 59(1): 578-596 (2021) - [j209]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning. IEEE Trans. Geosci. Remote. Sens. 59(3): 2269-2280 (2021) - [j208]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution. IEEE Trans. Geosci. Remote. Sens. 59(3): 2487-2502 (2021) - [j207]Jing Qin, Harlin Lee, Jocelyn T. Chi, Lucas Drumetz, Jocelyn Chanussot, Yifei Lou, Andrea L. Bertozzi:
Blind Hyperspectral Unmixing Based on Graph Total Variation Regularization. IEEE Trans. Geosci. Remote. Sens. 59(4): 3338-3351 (2021) - [j206]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4340-4354 (2021) - [j205]Jian Kang, Rubén Fernández-Beltran, Danfeng Hong, Jocelyn Chanussot, Antonio Plaza:
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval. IEEE Trans. Geosci. Remote. Sens. 59(5): 4355-4369 (2021) - [j204]Danfeng Hong, Jian Kang, Naoto Yokoya, Jocelyn Chanussot:
Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data. IEEE Trans. Geosci. Remote. Sens. 59(5): 4407-4418 (2021) - [j203]Geoffrey Iyer, Jocelyn Chanussot, Andrea L. Bertozzi:
A Graph-Based Approach for Data Fusion and Segmentation of Multimodal Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4419-4429 (2021) - [j202]Danfeng Hong, Jing Yao, Deyu Meng, Zongben Xu, Jocelyn Chanussot:
Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 59(6): 5103-5113 (2021) - [j201]Saloua Chlaily, Mauro Dalla Mura, Jocelyn Chanussot, Christian Jutten, Paolo Gamba, Andrea Marinoni:
Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection. IEEE Trans. Geosci. Remote. Sens. 59(7): 5598-5618 (2021) - [j200]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 5966-5978 (2021) - [j199]Liang-Jian Deng, Gemine Vivone, Cheng Jin, Jocelyn Chanussot:
Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 59(8): 6995-7010 (2021) - [j198]Minghua Wang, Qiang Wang, Jocelyn Chanussot, Danfeng Hong:
l₀-l₁ Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing. IEEE Trans. Geosci. Remote. Sens. 59(9): 7695-7710 (2021) - [j197]Na Liu, Lu Li, Wei Li, Ran Tao, James E. Fowler, Jocelyn Chanussot:
Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation. IEEE Trans. Geosci. Remote. Sens. 59(9): 7817-7830 (2021) - [j196]Bo Ren, Yangyang Zhao, Biao Hou, Jocelyn Chanussot, Licheng Jiao:
A Mutual Information-Based Self-Supervised Learning Model for PolSAR Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 59(11): 9224-9237 (2021) - [j195]Dou Quan, Shuang Wang, Yi Li, Bowu Yang, Ning Huyan, Jocelyn Chanussot, Biao Hou, Licheng Jiao:
Multi-Relation Attention Network for Image Patch Matching. IEEE Trans. Image Process. 30: 7127-7142 (2021) - [j194]Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Christian Jutten, Sayyed Mohammad Saeed Ehsani:
Geometric Multimodal Learning Based on Local Signal Expansion for Joint Diagonalization. IEEE Trans. Signal Process. 69: 1271-1286 (2021) - 2020
- [j193]Liangfu Lu, Xiaoxu Ren, Kuo-Hui Yeh, Zhiyuan Tan, Jocelyn Chanussot:
Exploring coupled images fusion based on joint tensor decomposition. Hum. centric Comput. Inf. Sci. 10: 10 (2020) - [j192]Chenwei Deng, Xun Liu, Jocelyn Chanussot, Yang Xu, Baojun Zhao:
Towards perceptual image fusion: A novel two-layer framework. Inf. Fusion 57: 102-114 (2020) - [j191]Gemine Vivone, Jocelyn Chanussot:
Fusion of short-wave infrared and visible near-infrared WorldView-3 data. Inf. Fusion 61: 71-83 (2020) - [j190]Rocco Restaino, Gemine Vivone, Paolo Addesso, Jocelyn Chanussot:
A Pansharpening Approach Based on Multiple Linear Regression Estimation of Injection Coefficients. IEEE Geosci. Remote. Sens. Lett. 17(1): 102-106 (2020) - [j189]Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang:
Fourier-Based Rotation-Invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection. IEEE Geosci. Remote. Sens. Lett. 17(2): 302-306 (2020) - [j188]Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu:
Learning-Shared Cross-Modality Representation Using Multispectral-LiDAR and Hyperspectral Data. IEEE Geosci. Remote. Sens. Lett. 17(8): 1470-1474 (2020) - [j187]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten:
Spectral Unmixing: A Derivation of the Extended Linear Mixing Model From the Hapke Model. IEEE Geosci. Remote. Sens. Lett. 17(11): 1866-1870 (2020) - [j186]Bo Ren, Biao Hou, Jocelyn Chanussot, Licheng Jiao:
Modified Tensor Distance-Based Multiview Spectral Embedding for PolSAR Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 17(12): 2095-2099 (2020) - [j185]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Unsupervised and Supervised Feature Extraction Methods for Hyperspectral Images Based on Mixtures of Factor Analyzers. Remote. Sens. 12(7): 1179 (2020) - [j184]Xiaoxu Ren, Liangfu Lu, Jocelyn Chanussot:
Toward Super-Resolution Image Construction Based on Joint Tensor Decomposition. Remote. Sens. 12(16): 2535 (2020) - [j183]David Alejandro Jimenez Sierra, Hernán Darío Benítez-Restrepo, Hernán Darío Vargas Cardona, Jocelyn Chanussot:
Graph-Based Data Fusion Applied to: Change Detection and Biomass Estimation in Rice Crops. Remote. Sens. 12(17): 2683 (2020) - [j182]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot:
CNN based spectral super-resolution of remote sensing images. Signal Process. 169: 107394 (2020) - [j181]Jie Wei, Yang Xu, Wanting Cai, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
A Two-Stream Multiscale Deep Learning Architecture for Pan-Sharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5455-5465 (2020) - [j180]Lin He, Jiawei Zhu, Jun Li, Deyu Meng, Jocelyn Chanussot, Antonio Plaza:
Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5898-5914 (2020) - [j179]Yang Xu, Zebin Wu, Jocelyn Chanussot, Pierre Comon, Zhihui Wei:
Nonlocal Coupled Tensor CP Decomposition for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 58(1): 348-362 (2020) - [j178]Bo Ren, Biao Hou, Jocelyn Chanussot, Licheng Jiao:
PolSAR Feature Extraction Via Tensor Embedding Framework for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 58(4): 2337-2351 (2020) - [j177]Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang, Lina Zhuang, Meiping Song, Jocelyn Chanussot:
Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3043-3056 (2020) - [j176]Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu:
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(6): 3791-3808 (2020) - [j175]Pattathal V. Arun, Krishna Mohan Buddhiraju, Alok Porwal, Jocelyn Chanussot:
CNN-Based Super-Resolution of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(9): 6106-6121 (2020) - [j174]Gemine Vivone, Stefano Maranò, Jocelyn Chanussot:
Pansharpening: Context-Based Generalized Laplacian Pyramids by Robust Regression. IEEE Trans. Geosci. Remote. Sens. 58(9): 6152-6167 (2020) - [j173]Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot:
Online Structured Sparsity-Based Moving-Object Detection From Satellite Videos. IEEE Trans. Geosci. Remote. Sens. 58(9): 6420-6433 (2020) - [j172]Yuxuan Zheng, Jiaojiao Li, Yunsong Li, Jie Guo, Xianyun Wu, Jocelyn Chanussot:
Hyperspectral Pansharpening Using Deep Prior and Dual Attention Residual Network. IEEE Trans. Geosci. Remote. Sens. 58(11): 8059-8076 (2020) - [j171]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten, Wing-Kin Ma, Akira Iwasaki:
Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry. IEEE Trans. Image Process. 29: 4568-4582 (2020) - [j170]Paolo Addesso, Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
A Data-Driven Model-Based Regression Applied to Panchromatic Sharpening. IEEE Trans. Image Process. 29: 7779-7794 (2020) - [j169]Yang Xu, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4747-4760 (2020) - 2019
- [j168]Théo Masson, Mauro Dalla Mura, Marie Dumont, Jocelyn Chanussot:
Snow Cover Estimation From Image Time Series Based on Spectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16(3): 337-341 (2019) - [j167]Gemine Vivone, Paolo Addesso, Jocelyn Chanussot:
A Combiner-Based Full Resolution Quality Assessment Index for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 16(3): 437-441 (2019) - [j166]Guillaume Tochon, Mauro Dalla Mura, Miguel Angel Veganzones, Thierry Géraud, Jocelyn Chanussot:
Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognit. 95: 162-172 (2019) - [j165]Ganggang Dong, Hongwei Liu, Gangyao Kuang, Jocelyn Chanussot:
Target recognition in SAR images via sparse representation in the frequency domain. Pattern Recognit. 96 (2019) - [j164]Douglas David Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre, Pierre Borgnat:
An Improved Stationarity Test Based on Surrogates. IEEE Signal Process. Lett. 26(10): 1431-1435 (2019) - [j163]Peng Wang, Mauro Dalla Mura, Jocelyn Chanussot, Gong Zhang:
Soft-Then-Hard Super-Resolution Mapping Based on Pansharpening Technique for Remote Sensing Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 334-344 (2019) - [j162]Lin He, Yizhou Rao, Jun Li, Jocelyn Chanussot, Antonio Plaza, Jiawei Zhu, Bo Li:
Pansharpening via Detail Injection Based Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(4): 1188-1204 (2019) - [j161]Lin He, Jiawei Zhu, Jun Li, Antonio Plaza, Jocelyn Chanussot, Bo Li:
HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 3092-3100 (2019) - [j160]Peng Wang, Lei Zhang, Gong Zhang, Hui Bi, Mauro Dalla Mura, Jocelyn Chanussot:
Superresolution Land Cover Mapping Based on Pixel-, Subpixel-, and Superpixel-Scale Spatial Dependence With Pansharpening Technique. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 4082-4098 (2019) - [j159]Jocelyn Chanussot, X. Zhu, Y. Gu:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4688-4689 (2019) - [j158]Gemine Vivone, Paolo Addesso, Rocco Restaino, Mauro Dalla Mura, Jocelyn Chanussot:
Pansharpening Based on Deconvolution for Multiband Filter Estimation. IEEE Trans. Geosci. Remote. Sens. 57(1): 540-553 (2019) - [j157]Qi Wang, Shaoteng Liu, Jocelyn Chanussot, Xuelong Li:
Scene Classification With Recurrent Attention of VHR Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(2): 1155-1167 (2019) - [j156]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1612-1628 (2019) - [j155]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences. IEEE Trans. Geosci. Remote. Sens. 57(7): 4349-4359 (2019) - [j154]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Javier Marcello, Consuelo Gonzalo-Martín, Jocelyn Chanussot:
Hyperspectral Classification Through Unmixing Abundance Maps Addressing Spectral Variability. IEEE Trans. Geosci. Remote. Sens. 57(7): 4775-4788 (2019) - [j153]Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao:
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features. IEEE Trans. Geosci. Remote. Sens. 57(7): 5146-5158 (2019) - [j152]Xun Liu, Chenwei Deng, Jocelyn Chanussot, Danfeng Hong, Baojun Zhao:
StfNet: A Two-Stream Convolutional Neural Network for Spatiotemporal Image Fusion. IEEE Trans. Geosci. Remote. Sens. 57(9): 6552-6564 (2019) - [j151]Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, Jefersson Alex dos Santos:
Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Trans. Geosci. Remote. Sens. 57(10): 7503-7520 (2019) - [j150]Javier Marcello, Edurne Ibarrola-Ulzurrun, Consuelo Gonzalo-Martín, Jocelyn Chanussot, Gemine Vivone:
Assessment of Hyperspectral Sharpening Methods for the Monitoring of Natural Areas Using Multiplatform Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 57(10): 8208-8222 (2019) - [j149]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing. IEEE Trans. Image Process. 28(4): 1923-1938 (2019) - [j148]Yang Xu, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 28(6): 3034-3047 (2019) - [j147]Lucas Drumetz, Travis R. Meyer, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral Image Unmixing With Endmember Bundles and Group Sparsity Inducing Mixed Norms. IEEE Trans. Image Process. 28(7): 3435-3450 (2019) - [j146]Zebin Wu, Wei Zhu, Jocelyn Chanussot, Yang Xu, Stanley J. Osher:
Hyperspectral Anomaly Detection via Global and Local Joint Modeling of Background. IEEE Trans. Signal Process. 67(14): 3858-3869 (2019) - 2018
- [j145]Wenzhi Liao, Frieke Van Coillie, Lianru Gao, Liwei Li, Bing Zhang, Jocelyn Chanussot:
Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping. IEEE Access 6: 68716-68729 (2018) - [j144]Blanca Priego, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot:
A cellular automata-based filtering approach to multi-temporal image denoising. Expert Syst. J. Knowl. Eng. 35(2) (2018) - [j143]Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot:
Noise Reduction in Hyperspectral Imagery: Overview and Application. Remote. Sens. 10(3): 482 (2018) - [j142]Théo Masson, Marie Dumont, Mauro Dalla Mura, Pascal Sirguey, Simon Gascoin, Jean-Pierre Dedieu, Jocelyn Chanussot:
An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data. Remote. Sens. 10(4): 619 (2018) - [j141]Jun Liu, Bin Luo, Sylvain Douté, Jocelyn Chanussot:
Exploration of Planetary Hyperspectral Images with Unsupervised Spectral Unmixing: A Case Study of Planet Mars. Remote. Sens. 10(5): 737 (2018) - [j140]Jike Chen, Peijun Du, Changshan Wu, Junshi Xia, Jocelyn Chanussot:
Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features. Remote. Sens. 10(6): 872 (2018) - [j139]Douglas David Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre, Pierre Borgnat:
A nonparametric test for slowly-varying nonstationarities. Signal Process. 143: 241-252 (2018) - [j138]Saurabh Prasad, Wenzi Liao, Mingyi He, Jocelyn Chanussot:
Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1019-1021 (2018) - [j137]Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1118-1130 (2018) - [j136]Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
A Regression-Based High-Pass Modulation Pansharpening Approach. IEEE Trans. Geosci. Remote. Sens. 56(2): 984-996 (2018) - [j135]Yang Xu, Zebin Wu, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi, Zhihui Wei:
Low-Rank Decomposition and Total Variation Regularization of Hyperspectral Video Sequences. IEEE Trans. Geosci. Remote. Sens. 56(3): 1680-1694 (2018) - [j134]Yang Xu, Zebin Wu, Jocelyn Chanussot, Zhihui Wei:
Joint Reconstruction and Anomaly Detection From Compressive Hyperspectral Images Using Mahalanobis Distance-Regularized Tensor RPCA. IEEE Trans. Geosci. Remote. Sens. 56(5): 2919-2930 (2018) - [j133]Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
A Bayesian Procedure for Full-Resolution Quality Assessment of Pansharpened Products. IEEE Trans. Geosci. Remote. Sens. 56(8): 4820-4834 (2018) - [j132]Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 56(9): 5343-5356 (2018) - [j131]Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
Full Scale Regression-Based Injection Coefficients for Panchromatic Sharpening. IEEE Trans. Image Process. 27(7): 3418-3431 (2018) - [j130]Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot:
A Variational Pansharpening Approach Based on Reproducible Kernel Hilbert Space and Heaviside Function. IEEE Trans. Image Process. 27(9): 4330-4344 (2018) - 2017
- [j129]Xin Huang, Jiayi Li, Wenzhi Liao, Jocelyn Chanussot:
Information extraction from remote sensing imagery. Geo spatial Inf. Sci. 20(4): 297-298 (2017) - [j128]Daniele Picone, Rocco Restaino, Gemine Vivone, Paolo Addesso, Mauro Dalla Mura, Jocelyn Chanussot:
Band Assignment Approaches for Hyperspectral Sharpening. IEEE Geosci. Remote. Sens. Lett. 14(5): 739-743 (2017) - [j127]Blanca Maria Priego Torres, Richard J. Duro, Jocelyn Chanussot:
4DCAF: A temporal approach for denoising hyperspectral image sequences. Pattern Recognit. 72: 433-445 (2017) - [j126]Lucas Drumetz, Bahram Ehsandoust, Jocelyn Chanussot, Bertrand Rivet, Massoud Babaie-Zadeh, Christian Jutten:
Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing. IEEE Signal Process. Lett. 24(10): 1567-1571 (2017) - [j125]Junshi Xia, Nicola Falco, Jón Atli Benediktsson, Peijun Du, Jocelyn Chanussot:
Hyperspectral Image Classification With Rotation Random Forest Via KPCA. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1601-1609 (2017) - [j124]Peng Wang, Liguo Wang, Mauro Dalla Mura, Jocelyn Chanussot:
Using Multiple Subpixel Shifted Images With Spatial-Spectral Information in Soft-Then-Hard Subpixel Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2950-2959 (2017) - [j123]Shuchin Aeron, Eric L. Miller, Melba M. Crawford, Alison Malcom, Andreas Reigber, Jocelyn Chanussot:
Guest Editorial Computational Imaging for Earth Sciences. IEEE Trans. Computational Imaging 3(2): 144-145 (2017) - [j122]Rocco Restaino, Mauro Dalla Mura, Gemine Vivone, Jocelyn Chanussot:
Context-Adaptive Pansharpening Based on Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 55(2): 753-766 (2017) - [j121]Guillaume Tochon, Jocelyn Chanussot, Mauro Dalla Mura, Andrea L. Bertozzi:
Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. IEEE Trans. Geosci. Remote. Sens. 55(8): 4567-4585 (2017) - [j120]Yanfeng Gu, Jocelyn Chanussot, Xiuping Jia, Jón Atli Benediktsson:
Multiple Kernel Learning for Hyperspectral Image Classification: A Review. IEEE Trans. Geosci. Remote. Sens. 55(11): 6547-6565 (2017) - [j119]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot:
Evaluation of the New Information in the H/α Feature Space Provided by ICA in PolSAR Data Analysis. IEEE Trans. Geosci. Remote. Sens. 55(12): 6893-6909 (2017) - [j118]Tianzhu Liu, Yanfeng Gu, Jocelyn Chanussot, Mauro Dalla Mura:
Multimorphological Superpixel Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(12): 6950-6963 (2017) - 2016
- [j117]Rui Bao, Junshi Xia, Mauro Dalla Mura, Peijun Du, Jocelyn Chanussot, Jinchang Ren:
Combining Morphological Attribute Profiles via an Ensemble Method for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(3): 359-363 (2016) - [j116]Junshi Xia, Nicola Falco, Jón Atli Benediktsson, Jocelyn Chanussot, Peijun Du:
Class-Separation-Based Rotation Forest for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(4): 584-588 (2016) - [j115]Peng Wang, Liguo Wang, Jocelyn Chanussot:
Soft-Then-Hard Subpixel Land Cover Mapping Based on Spatial-Spectral Interpolation. IEEE Geosci. Remote. Sens. Lett. 13(12): 1851-1854 (2016) - [j114]Giorgio Licciardi, Gemine Vivone, Mauro Dalla Mura, Rocco Restaino, Jocelyn Chanussot:
Multi-resolution analysis techniques and nonlinear PCA for hybrid pansharpening applications. Multidimens. Syst. Signal Process. 27(4): 807-830 (2016) - [j113]Qian Du, Eckart Michaelsen, Bing Zhang, Jocelyn Chanussot:
Special issue on advances in pattern recognition in remote sensing. Pattern Recognit. Lett. 83: 113-114 (2016) - [j112]Jike Chen, Junshi Xia, Peijun Du, Jocelyn Chanussot, Zhaohui Xue, Xiangjian Xie:
Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples. Remote. Sens. 8(7): 601 (2016) - [j111]Wenzhi Liao, Mauro Dalla Mura, Jocelyn Chanussot, Aleksandra Pizurica:
Fusion of Spectral and Spatial Information for Classification of Hyperspectral Remote-Sensed Imagery by Local Graph. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 583-594 (2016) - [j110]Uta Heiden, Akira Iwasaki, Andreas Müller, Martin Schlerf, Thomas Udelhoven, Kuniaki Uto, Naoto Yokoya, Jocelyn Chanussot:
Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 3904-3908 (2016) - [j109]Jike Chen, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Combining Rotation Forest and Multiscale Segmentation for the Classification of Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4060-4072 (2016) - [j108]Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He:
Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 54(3): 1519-1531 (2016) - [j107]Wenzhi Liao, Mauro Dalla Mura, Jocelyn Chanussot, Rik Bellens, Wilfried Philips:
Morphological Attribute Profiles With Partial Reconstruction. IEEE Trans. Geosci. Remote. Sens. 54(3): 1738-1756 (2016) - [j106]Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Jocelyn Chanussot, Pierre Comon:
Nonnegative Tensor CP Decomposition of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 54(5): 2577-2588 (2016) - [j105]Yanfeng Gu, Tianzhu Liu, Xiuping Jia, Jón Atli Benediktsson, Jocelyn Chanussot:
Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3235-3247 (2016) - [j104]Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero Gomez, Guillaume Tochon, Mauro Dalla Mura, Giorgio A. Licciardi, Christian Jutten, Jocelyn Chanussot:
Hyperspectral Local Intrinsic Dimensionality. IEEE Trans. Geosci. Remote. Sens. 54(7): 4063-4078 (2016) - [j103]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Andrei Anghel, Jocelyn Chanussot:
Spherical Symmetry of Complex Stochastic Models in Multivariate High-Resolution PolSAR Images. IEEE Trans. Geosci. Remote. Sens. 54(7): 4250-4261 (2016) - [j102]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot, Nikola Besic:
Evaluation of ICA-Based ICTD for PolSAR Data Analysis Using a Sliding Window Approach: Convergence Rate, Gaussian Sources, and Spatial Correlation. IEEE Trans. Geosci. Remote. Sens. 54(7): 4262-4271 (2016) - [j101]Tianzhu Liu, Yanfeng Gu, Xiuping Jia, Jón Atli Benediktsson, Jocelyn Chanussot:
Class-Specific Sparse Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(12): 7351-7365 (2016) - [j100]Miguel Angel Veganzones, Miguel Simões, Giorgio Licciardi, Naoto Yokoya, José M. Bioucas-Dias, Jocelyn Chanussot:
Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data. IEEE Trans. Image Process. 25(1): 274-288 (2016) - [j99]Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot:
Fusion of Multispectral and Panchromatic Images Based on Morphological Operators. IEEE Trans. Image Process. 25(6): 2882-2895 (2016) - [j98]Simon Henrot, Jocelyn Chanussot, Christian Jutten:
Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images. IEEE Trans. Image Process. 25(7): 3219-3232 (2016) - [j97]Lucas Drumetz, Miguel Angel Veganzones, Simon Henrot, Ronald Phlypo, Jocelyn Chanussot, Christian Jutten:
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability. IEEE Trans. Image Process. 25(8): 3890-3905 (2016) - [j96]Simon Henrot, Jocelyn Chanussot, Christian Jutten:
Correction to "Dynamical Spectral Unmixing of Multitemporal Hyperspectral Images". IEEE Trans. Image Process. 25(9): 4443 (2016) - [j95]Miguel Simões, Luís B. Almeida, José M. Bioucas-Dias, Jocelyn Chanussot:
A Framework for Fast Image Deconvolution With Incomplete Observations. IEEE Trans. Image Process. 25(11): 5266-5280 (2016) - [j94]Carole Amiot, Catherine Girard, Jocelyn Chanussot, Jérémie Pescatore, Michel Desvignes:
Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence. IEEE Trans. Medical Imaging 35(6): 1565-1574 (2016) - 2015
- [j93]Lucas Drumetz, Mauro Dalla Mura, Samuel Meulenyzer, Sébastien Lombard, Jocelyn Chanussot:
Semiautomatic classification of cementitious materials using scanning electron microscope images. J. Electronic Imaging 24(6): 061109 (2015) - [j92]Saurabh Prasad, Jocelyn Chanussot, James E. Fowler, José M. Bioucas-Dias, Charles D. Creuserre:
Introduction to the Issue on Advances in Hyperspectral Data Processing and Analysis. IEEE J. Sel. Top. Signal Process. 9(6): 961-963 (2015) - [j91]Maria Rosaria Vicinanza, Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot:
A Pansharpening Method Based on the Sparse Representation of Injected Details. IEEE Geosci. Remote. Sens. Lett. 12(1): 180-184 (2015) - [j90]Nikola Besic, Gabriel Vasile, Jean-Pierre Dedieu, Jocelyn Chanussot, Srdjan Stankovic:
Stochastic Approach in Wet Snow Detection Using Multitemporal SAR Data. IEEE Geosci. Remote. Sens. Lett. 12(2): 244-248 (2015) - [j89]Giorgio Licciardi, R. Dambreville, Jocelyn Chanussot, Stéphanie Dubost:
Spatiotemporal Pattern Recognition and Nonlinear PCA for Global Horizontal Irradiance Forecasting. IEEE Geosci. Remote. Sens. Lett. 12(2): 284-288 (2015) - [j88]Giorgio A. Licciardi, Jocelyn Chanussot:
Nonlinear PCA for Visible and Thermal Hyperspectral Images Quality Enhancement. IEEE Geosci. Remote. Sens. Lett. 12(6): 1228-1231 (2015) - [j87]Junshi Xia, Wenzhi Liao, Jocelyn Chanussot, Peijun Du, Guanghan Song, Wilfried Philips:
Improving Random Forest With Ensemble of Features and Semisupervised Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 12(7): 1471-1475 (2015) - [j86]Mauro Dalla Mura, Saurabh Prasad, Fabio Pacifici, Paolo Gamba, Jocelyn Chanussot, Jón Atli Benediktsson:
Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing. Proc. IEEE 103(9): 1585-1601 (2015) - [j85]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Object recognition in hyperspectral images using Binary Partition Tree representation. Pattern Recognit. Lett. 56: 45-51 (2015) - [j84]Yang-Lang Chang, Yi-Chun Wang, Yi-Shiang Fu, Chin-Chuan Han, Jocelyn Chanussot, Bormin Huang:
Multisource Data Fusion and Fisher Criterion-Based Nearest Feature Space Approach to Landslide Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(2): 576-588 (2015) - [j83]Devis Tuia, Sebastián López, Michael E. Schaepman, Jocelyn Chanussot:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2337-2340 (2015) - [j82]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic:
Polarimetric Incoherent Target Decomposition by Means of Independent Component Analysis. IEEE Trans. Geosci. Remote. Sens. 53(3): 1236-1247 (2015) - [j81]Manuel Cubero-Castan, Jocelyn Chanussot, Véronique Achard, Xavier Briottet, Michal Shimoni:
A Physics-Based Unmixing Method to Estimate Subpixel Temperatures on Mixed Pixels. IEEE Trans. Geosci. Remote. Sens. 53(4): 1894-1906 (2015) - [j80]Gemine Vivone, Miguel Simões, Mauro Dalla Mura, Rocco Restaino, José M. Bioucas-Dias, Giorgio Licciardi, Jocelyn Chanussot:
Pansharpening Based on Semiblind Deconvolution. IEEE Trans. Geosci. Remote. Sens. 53(4): 1997-2010 (2015) - [j79]Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He:
Spectral-Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields. IEEE Trans. Geosci. Remote. Sens. 53(5): 2532-2546 (2015) - [j78]Gemine Vivone, Luciano Alparone, Jocelyn Chanussot, Mauro Dalla Mura, Andrea Garzelli, Giorgio Licciardi, Rocco Restaino, Lucien Wald:
A Critical Comparison Among Pansharpening Algorithms. IEEE Trans. Geosci. Remote. Sens. 53(5): 2565-2586 (2015) - [j77]Miguel Simões, José M. Bioucas-Dias, Luís B. Almeida, Jocelyn Chanussot:
A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization. IEEE Trans. Geosci. Remote. Sens. 53(6): 3373-3388 (2015) - [j76]Ruben Marrero, Sebastián López, Gustavo Marrero Callicó, Miguel Angel Veganzones, Antonio J. Plaza, Jocelyn Chanussot, Roberto Sarmiento:
A Novel Negative Abundance-Oriented Hyperspectral Unmixing Algorithm. IEEE Trans. Geosci. Remote. Sens. 53(7): 3772-3790 (2015) - [j75]Junshi Xia, Mauro Dalla Mura, Jocelyn Chanussot, Peijun Du, Xiyan He:
Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles. IEEE Trans. Geosci. Remote. Sens. 53(9): 4768-4786 (2015) - [j74]Carole Amiot, Catherine Girard, Jocelyn Chanussot, Jérémie Pescatore, Michel Desvignes:
Curvelet Based Contrast Enhancement in Fluoroscopic Sequences. IEEE Trans. Medical Imaging 34(1): 137-147 (2015) - 2014
- [j73]Junshi Xia, Peijun Du, Xiyan He, Jocelyn Chanussot:
Hyperspectral Remote Sensing Image Classification Based on Rotation Forest. IEEE Geosci. Remote. Sens. Lett. 11(1): 239-243 (2014) - [j72]Gemine Vivone, Rocco Restaino, Mauro Dalla Mura, Giorgio Licciardi, Jocelyn Chanussot:
Contrast and Error-Based Fusion Schemes for Multispectral Image Pansharpening. IEEE Geosci. Remote. Sens. Lett. 11(5): 930-934 (2014) - [j71]Giorgio Licciardi, Ruggero Giuseppe Avezzano, Fabio Del Frate, Giovanni Schiavon, Jocelyn Chanussot:
A novel approach to polarimetric SAR data processing based on Nonlinear PCA. Pattern Recognit. 47(5): 1953-1967 (2014) - [j70]Eysteinn Már Sigurðsson, Silvia Valero, Jón Atli Benediktsson, Jocelyn Chanussot, Hugues Talbot, Einar Stefánsson:
Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification. Pattern Recognit. Lett. 47: 164-171 (2014) - [j69]Alina Zare, Jeremy Bolton, Jocelyn Chanussot, Paul D. Gader:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 1841-1843 (2014) - [j68]Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He:
(Semi-) Supervised Probabilistic Principal Component Analysis for Hyperspectral Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2224-2236 (2014) - [j67]Naoto Yokoya, Jocelyn Chanussot, Akira Iwasaki:
Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 52(2): 1430-1437 (2014) - [j66]Benqin Song, Jun Li, Mauro Dalla Mura, Peijun Li, Antonio Plaza, José M. Bioucas-Dias, Jón Atli Benediktsson, Jocelyn Chanussot:
Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles. IEEE Trans. Geosci. Remote. Sens. 52(8): 5122-5136 (2014) - [j65]Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot:
Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. IEEE Trans. Image Process. 23(8): 3574-3589 (2014) - [j64]Xiyan He, Laurent Condat, José M. Bioucas-Dias, Jocelyn Chanussot, Junshi Xia:
A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors. IEEE Trans. Image Process. 23(9): 4160-4174 (2014) - 2013
- [j63]Bin Luo, Muhammad Murtaza Khan, Thibaut Bienvenu, Jocelyn Chanussot, Liangpei Zhang:
Decision-Based Fusion for Pansharpening of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 10(1): 19-23 (2013) - [j62]Bin Luo, Jocelyn Chanussot, Sylvain Douté, Liangpei Zhang:
Empirical Automatic Estimation of the Number of Endmembers in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 10(1): 24-28 (2013) - [j61]Jón Atli Benediktsson, Jocelyn Chanussot, Wooil M. Moon:
Advances in Very-High-Resolution Remote Sensing [Scanning the Issue]. Proc. IEEE 101(3): 566-569 (2013) - [j60]Chenghai Yang, James H. Everitt, Qian Du, Bin Luo, Jocelyn Chanussot:
Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture. Proc. IEEE 101(3): 582-592 (2013) - [j59]Mathieu Fauvel, Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
Advances in Spectral-Spatial Classification of Hyperspectral Images. Proc. IEEE 101(3): 652-675 (2013) - [j58]Alberto Alonso-González, Silvia Valero, Jocelyn Chanussot, Carlos López-Martínez, Philippe Salembier:
Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proc. IEEE 101(3): 723-747 (2013) - [j57]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Alberto Villa:
Parsimonious Mahalanobis kernel for the classification of high dimensional data. Pattern Recognit. 46(3): 845-854 (2013) - [j56]Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson, Christian Jutten, R. Dambreville:
Unsupervised methods for the classification of hyperspectral images with low spatial resolution. Pattern Recognit. 46(6): 1556-1568 (2013) - [j55]Mathieu Fauvel, Benoit Arbelot, Jón Atli Benediktsson, David Sheeren, Jocelyn Chanussot:
Detection of Hedges in a Rural Landscape Using a Local Orientation Feature: From Linear Opening to Path Opening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 15-26 (2013) - [j54]Rosa Maria Cavalli, Giorgio A. Licciardi, Jocelyn Chanussot:
Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 659-669 (2013) - [j53]Bin Luo, Chenghai Yang, Jocelyn Chanussot, Liangpei Zhang:
Crop Yield Estimation Based on Unsupervised Linear Unmixing of Multidate Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 51(1): 162-173 (2013) - [j52]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Hyperspectral Image Representation and Processing With Binary Partition Trees. IEEE Trans. Image Process. 22(4): 1430-1443 (2013) - 2012
- [j51]Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten:
Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. EURASIP J. Adv. Signal Process. 2012: 207 (2012) - [j50]François Cokelaer, Hugues Talbot, Jocelyn Chanussot:
Efficient Robust d-Dimensional Path Operators. IEEE J. Sel. Top. Signal Process. 6(7): 830-839 (2012) - [j49]Giorgio Licciardi, Prashanth Reddy Marpu, Jocelyn Chanussot, Jón Atli Benediktsson:
Linear Versus Nonlinear PCA for the Classification of Hyperspectral Data Based on the Extended Morphological Profiles. IEEE Geosci. Remote. Sens. Lett. 9(3): 447-451 (2012) - [j48]Jón Atli Benediktsson, Jocelyn Chanussot, Wooil M. Moon:
Very High-Resolution Remote Sensing: Challenges and Opportunities [Point of View]. Proc. IEEE 100(6): 1907-1910 (2012) - [j47]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A spatial-spectral kernel-based approach for the classification of remote-sensing images. Pattern Recognit. 45(1): 381-392 (2012) - [j46]Giorgio A. Licciardi, Alberto Villa, Mauro Dalla Mura, Lorenzo Bruzzone, Jocelyn Chanussot, Jón Atli Benediktsson:
Retrieval of the Height of Buildings From WorldView-2 Multi-Angular Imagery Using Attribute Filters and Geometric Invariant Moments. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 71-79 (2012) - [j45]Yuliya Tarabalka, James C. Tilton, Jón Atli Benediktsson, Jocelyn Chanussot:
A Marker-Based Approach for the Automated Selection of a Single Segmentation From a Hierarchical Set of Image Segmentations. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 262-272 (2012) - [j44]Nathan Longbotham, Fabio Pacifici, Taylor C. Glenn, Alina Zare, Michele Volpi, Devis Tuia, Emmanuel Christophe, Julien Michel, Jordi Inglada, Jocelyn Chanussot, Qian Du:
Multi-Modal Change Detection, Application to the Detection of Flooded Areas: Outcome of the 2009-2010 Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(1): 331-342 (2012) - [j43]José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeon, Mario Parente, Qian Du, Paul D. Gader, Jocelyn Chanussot:
Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 354-379 (2012) - [j42]Sascha Klemenjak, Björn Waske, Silvia Valero, Jocelyn Chanussot:
Automatic Detection of Rivers in High-Resolution SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(5): 1364-1372 (2012) - [j41]Kévin Bernard, Yuliya Tarabalka, Jesús Angulo, Jocelyn Chanussot, Jón Atli Benediktsson:
Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach. IEEE Trans. Image Process. 21(4): 2008-2021 (2012) - 2011
- [j40]Gustavo Camps-Valls, Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot:
Introduction to the Issue on Advances in Remote Sensing Image Processing. IEEE J. Sel. Top. Signal Process. 5(3): 365-369 (2011) - [j39]Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson, Christian Jutten:
Spectral Unmixing for the Classification of Hyperspectral Images at a Finer Spatial Resolution. IEEE J. Sel. Top. Signal Process. 5(3): 521-533 (2011) - [j38]Mauro Dalla Mura, Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone:
Classification of Hyperspectral Images by Using Extended Morphological Attribute Profiles and Independent Component Analysis. IEEE Geosci. Remote. Sens. Lett. 8(3): 542-546 (2011) - [j37]Jean-Matthieu Monnet, Jocelyn Chanussot, Frédéric Berger:
Support Vector Regression for the Estimation of Forest Stand Parameters Using Airborne Laser Scanning. IEEE Geosci. Remote. Sens. Lett. 8(3): 580-584 (2011) - [j36]Jocelyn Chanussot:
Message from the Incoming Editor-in-Chief. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(1): 3-4 (2011) - [j35]Xavier Ceamanos, Sylvain Douté, Bin Luo, Frédéric Schmidt, Gwenaël Jouannic, Jocelyn Chanussot:
Intercomparison and Validation of Techniques for Spectral Unmixing of Hyperspectral Images: A Planetary Case Study. IEEE Trans. Geosci. Remote. Sens. 49(11): 4341-4358 (2011) - [j34]Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Christian Jutten:
Hyperspectral Image Classification With Independent Component Discriminant Analysis. IEEE Trans. Geosci. Remote. Sens. 49(12): 4865-4876 (2011) - [j33]Jocelyn Chanussot, Christian Jutten:
Special Issue on Machine Learning for Signal Processing. J. Signal Process. Syst. 65(3): 287-288 (2011) - [j32]Bin Luo, Jocelyn Chanussot:
Supervised Hyperspectral Image Classification Based on Spectral Unmixing and Geometrical Features. J. Signal Process. Syst. 65(3): 457-468 (2011) - 2010
- [j31]Yuliya Tarabalka, Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 7(4): 736-740 (2010) - [j30]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognit. 43(7): 2367-2379 (2010) - [j29]Silvia Valero, Jocelyn Chanussot, Jón Atli Benediktsson, Hugues Talbot, Björn Waske:
Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images. Pattern Recognit. Lett. 31(10): 1120-1127 (2010) - [j28]Jocelyn Chanussot, Melba M. Crawford, Bor-Chen Kuo:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE Trans. Geosci. Remote. Sens. 48(11): 3871-3876 (2010) - [j27]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
Multiple Spectral-Spatial Classification Approach for Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 48(11): 4122-4132 (2010) - [j26]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers. IEEE Trans. Syst. Man Cybern. Part B 40(5): 1267-1279 (2010) - 2009
- [j25]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas. EURASIP J. Adv. Signal Process. 2009 (2009) - [j24]Bertrand Cecil Olivier Gottin, Cornel Ioana, Jocelyn Chanussot, Guy D'Urso, Thierry Espilit:
Detection and Localization of Transient Sources: Comparative Study of Complex-Lag Distribution Concept Versus Wavelets and Spectrogram-Based Methods. EURASIP J. Adv. Signal Process. 2009 (2009) - [j23]Tarek Habib, Jordi Inglada, Grégoire Mercier, Jocelyn Chanussot:
Support Vector Reduction in SVM Algorithm for Abrupt Change Detection in Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 6(3): 606-610 (2009) - [j22]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot:
Spectral-Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques. IEEE Trans. Geosci. Remote. Sens. 47(8-2): 2973-2987 (2009) - [j21]Giorgio Licciardi, Fabio Pacifici, Devis Tuia, Saurabh Prasad, Terrance West, Ferdinando Giacco, Christian Thiel, Jordi Inglada, Emmanuel Christophe, Jocelyn Chanussot, Paolo Gamba:
Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest. IEEE Trans. Geosci. Remote. Sens. 47(11): 3857-3865 (2009) - [j20]Muhammad Murtaza Khan, Luciano Alparone, Jocelyn Chanussot:
Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments. IEEE Trans. Geosci. Remote. Sens. 47(11): 3880-3891 (2009) - 2008
- [j19]Frédéric Maussang, Michèle Rombaut, Jocelyn Chanussot, Alain Hétet, Maud Amate:
Fusion of Local Statistical Parameters for Buried Underwater Mine Detection in Sonar Imaging. EURASIP J. Adv. Signal Process. 2008 (2008) - [j18]Saïd Moussaoui, Hafrun Hauksdóttir, Frédéric Schmidt, Christian Jutten, Jocelyn Chanussot, David Brie, Sylvain Douté, Jón Atli Benediktsson:
On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation. Neurocomputing 71(10-12): 2194-2208 (2008) - [j17]Yann Le Meur, Jean-Michel Vignolle, Jocelyn Chanussot:
Practical use of receiver operating characteristic analysis to assess the performances of defect detection algorithms. J. Electronic Imaging 17(3): 031104 (2008) - [j16]Pascal Sirguey, Renaud Mathieu, Yves Arnaud, Muhammad Murtaza Khan, Jocelyn Chanussot:
Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept. IEEE Geosci. Remote. Sens. Lett. 5(1): 78-82 (2008) - [j15]Muhammad Murtaza Khan, Jocelyn Chanussot, Laurent Condat, Annick Montanvert:
Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique. IEEE Geosci. Remote. Sens. Lett. 5(1): 98-102 (2008) - [j14]Fabio Pacifici, Fabio Del Frate, William J. Emery, Paolo Gamba, Jocelyn Chanussot:
Urban Mapping Using Coarse SAR and Optical Data: Outcome of the 2007 GRSS Data Fusion Contest. IEEE Geosci. Remote. Sens. Lett. 5(3): 331-335 (2008) - [j13]Gabriel Vasile, Emmanuel Trouvé, Ivan Pétillot, Philippe Bolon, Jean-Marie Nicolas, Michel Gay, Jocelyn Chanussot, Tania Landes, Pierre Grussenmeyer, Vasile Buzuloiu, Irena Hajnsek, Christian Andres, Martin Keller, Ralf Horn:
High-Resolution SAR Interferometry: Estimation of Local Frequencies in the Context of Alpine Glaciers. IEEE Trans. Geosci. Remote. Sens. 46(4): 1079-1090 (2008) - [j12]Paolo Gamba, Jocelyn Chanussot:
Foreword to the Special Issue on Data Fusion. IEEE Trans. Geosci. Remote. Sens. 46(5): 1283-1288 (2008) - [j11]Claire Thomas, Thierry Ranchin, Lucien Wald, Jocelyn Chanussot:
Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics. IEEE Trans. Geosci. Remote. Sens. 46(5): 1301-1312 (2008) - [j10]Mathieu Fauvel, Jón Atli Benediktsson, Jocelyn Chanussot, Johannes R. Sveinsson:
Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles. IEEE Trans. Geosci. Remote. Sens. 46(11): 3804-3814 (2008) - 2007
- [j9]Frédéric Maussang, Jocelyn Chanussot, Alain Hétet, Maud Amate:
Higher-Order Statistics for the Detection of Small Objects in a Noisy Background Application on Sonar Imaging. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Emmanuel Trouvé, Gabriel Vasile, Michel Gay, Lionel Bombrun, Pierre Grussenmeyer, Tania Landes, Jean-Marie Nicolas, Philippe Bolon, Ivan Pétillot, Andreea Julea, Lionel Valet, Jocelyn Chanussot, Mathieu Koehl:
Combining Airborne Photographs and Spaceborne SAR Data to Monitor Temperate Glaciers: Potentials and Limits. IEEE Trans. Geosci. Remote. Sens. 45(4): 905-924 (2007) - [j7]Luciano Alparone, Lucien Wald, Jocelyn Chanussot, Claire Thomas, Paolo Gamba, Lori Mann Bruce:
Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest. IEEE Trans. Geosci. Remote. Sens. 45(10): 3012-3021 (2007) - 2006
- [j6]Jocelyn Chanussot, Jón Atli Benediktsson, Mathieu Fauvel:
Classification of remote sensing images from urban areas using a fuzzy possibilistic model. IEEE Geosci. Remote. Sens. Lett. 3(1): 40-44 (2006) - [j5]Antoine Roueff, Jocelyn Chanussot, Jérôme I. Mars:
Estimation of polarization parameters using time-frequency representations and its application to waves separation. Signal Process. 86(12): 3714-3731 (2006) - [j4]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Decision Fusion for the Classification of Urban Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 44(10-1): 2828-2838 (2006) - 2005
- [j3]Jocelyn Chanussot, Ingela Nyström, Natasa Sladoje:
Shape signatures of fuzzy star-shaped sets based on distance from the centroid. Pattern Recognit. Lett. 26(6): 735-746 (2005) - [j2]Antoine Roueff, Jérôme I. Mars, Jocelyn Chanussot, H. Pedersen:
Dispersion estimation from linear array data in the time-frequency plane. IEEE Trans. Signal Process. 53(10): 3738-3748 (2005) - 1999
- [j1]Jocelyn Chanussot, Gilles Mauris, Patrick Lambert:
Fuzzy fusion techniques for linear features detection in multitemporal SAR images. IEEE Trans. Geosci. Remote. Sens. 37(3): 1292-1305 (1999)
Conference and Workshop Papers
- 2024
- [c239]Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa:
Hyperspectral Pansharpening: Review and Future Perspectives. IGARSS 2024: 1231-1234 - [c238]Biqi Wang, Yang Xu, Zebin Wu, Zhihui Wei, Jocelyn Chanussot:
Unsupervised Domain Adaptation for Hyperspectral Image Classification via Causal Invariance. IGARSS 2024: 1522-1525 - [c237]Antoine Bralet, Trong Nghia Ngo, Emmanuel Trouvé, Jocelyn Chanussot, Abdourrahmane M. Atto:
DEM-Assisted Neural Network for SAR-to-Optical Image Translation. IGARSS 2024: 7649-7652 - 2023
- [c236]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
Hysupp: An Open-Source Hyperspectral Unmixing Python Package. IGARSS 2023: 1134-1137 - [c235]Tao Tian, Jiang Cai, Yang Xu, Zebin Wu, Zhihui Wei, Jocelyn Chanussot:
RGB-Infrared Multi-Modal Remote Sensing Object Detection Using CNN and Transformer Based Feature Fusion. IGARSS 2023: 5728-5731 - [c234]Yifan Zhang, Yang Xu, Zebin Wu, Zhihui Wei, Jocelyn Chanussot:
A Novel Unified Framework for Multi-Task Fusion of Hyperspectral and SAR Image. IGARSS 2023: 8311-8314 - [c233]Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Adrien Weihs, Andrea L. Bertozzi, Jocelyn Chanussot:
Material Identification in Complex Environments: Neural Network Approaches to Hyperspectral Image Analysis. WHISPERS 2023: 1-5 - [c232]Minghua Wang, Bing Zhang, Jiaxin Li, Longfei Ren, Jocelyn Chanussot:
A Feature Fusion-Based Transformer Network for Hyperspectral Super-Resolution. WHISPERS 2023: 1-5 - 2022
- [c231]Antoine Bralet, Abdourrahmane M. Atto, Jocelyn Chanussot, Emmanuel Trouvé:
Deep Learning of Radiometrical and Geometrical Sar Distorsions for Image Modality translations. ICIP 2022: 1766-1770 - [c230]Behnood Rasti, Bikram Koirala, Paul Scheunders, Jocelyn Chanussot:
Deep Blind Unmixing using Minimum Simplex Convolutional Network. IGARSS 2022: 28-31 - [c229]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS 2022: 267-270 - [c228]Lihui Chen, Gemine Vivone, Jiayi Qin, Jocelyn Chanussot, Xiaomin Yang:
Spectral-Spatial Transformer for Hyperspectral Image Sharpening. IGARSS 2022: 1452-1455 - [c227]Jinxue Chi, Xueji Shen, Haoyang Yu, Xiao-Di Shang, Jocelyn Chanussot, Yimin Shi:
Robust Linear Unmixing for Hyperspectral Remote Sensing Imagery Based on Enhanced Constraint of Classification. IGARSS 2022: 1628-1631 - [c226]Pourya Shamsolmoali, Masoumeh Zareapoor, Jie Yang, Eric Granger, Jocelyn Chanussot:
Enhanced Single-Shot Detector for Small Object Detection in Remote Sensing Images. IGARSS 2022: 1716-1719 - [c225]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing via Attention Networks. IGARSS 2022: 1784-1787 - [c224]Jing Yao, Danfeng Hong, Lianru Gao, Jocelyn Chanussot:
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. IGARSS 2022: 4807-4810 - 2021
- [c223]Jocelyn Chanussot:
On Hyperspectral Super-Resolution. IGARSS 2021: 29-32 - [c222]Danfeng Hong, Xin Wu, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. IGARSS 2021: 282-285 - [c221]Danfeng Hong, Jocelyn Chanussot, Xiao Xiang Zhu:
An Overview of Multimodal Remote Sensing Data Fusion: From Image to Feature, From Shallow to Deep. IGARSS 2021: 1245-1248 - [c220]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Wavelet-Based Block Low-Rank Representations for Hyperspectral Denoising. IGARSS 2021: 2484-2487 - [c219]Zhu Han, Danfeng Hong, Lianru Gao, Jocelyn Chanussot, Bing Zhang:
EvoNAS: Evolvable Neural Architecture Search for Hyperspectral Unmixing. IGARSS 2021: 3325-3328 - [c218]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Non-Local Means Low-Rank Approximation for Hyperspectral Denoising. IGARSS 2021: 4147-4150 - [c217]Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal:
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. NeurIPS 2021: 5430-5442 - 2020
- [c216]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. ECCV (29) 2020: 208-224 - [c215]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Local Spatial-Spectral Correlation Based Mixtures of Factor Analyzers for Hyperspectral Denoising. IGARSS 2020: 1488-1491 - [c214]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
Hyperspectral Images Denoising Based on Mixtures of Factor Analyzers. IGARSS 2020: 1516-1519 - [c213]Mengqian Chen, Bo Ren, Biao Hou, Jocelyn Chanussot, Shuang Wang, Xiangrong Zhang, Wen Xie:
PolSAR Scene Classification via Low-Rank Tensor-Based Multi-View Subspace Representation. IGARSS 2020: 1731-1734 - [c212]Danfeng Hong, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu:
Unsupervised Hyperspectral Embedding by Learning a Deep Regression Network. IGARSS 2020: 2049-2052 - [c211]Danfeng Hong, Jing Yao, Renlong Hang, Jocelyn Chanussot:
Locally Linear Reconstruction for Spectral Enhancement Using Limited Pixel-to-Pixel Multispectral and Hyperspectral Data. IGARSS 2020: 2691-2694 - 2019
- [c210]Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Uta Heiden, Wieke Heldens, Xiao Xiang Zhu:
WU-Net: A Weakly-Supervised Unmixing Network for Remotely Sensed Hyperspectral Imagery. IGARSS 2019: 373-376 - [c209]Sevcan Kahraman, Yang Xu, Jocelyn Chanussot, Ali Tangel:
LiDAR Data-Aided Hypergraph Regularized Multi-Modal Unmixing. IGARSS 2019: 696-699 - [c208]Bin Zhao, Johannes R. Sveinsson, Magnus O. Ulfarsson, Jocelyn Chanussot:
(Semi-) Supervised Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification. IGARSS 2019: 887-890 - [c207]Bin Zhao, Magnus O. Ulfarsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Mixtures of Factor Analyzers and Deep Mixtures of Factor Analyzers Dimensionality Reduction Algorithms For Hyperspectral Images Classification. IGARSS 2019: 891-894 - [c206]Bo Ren, Biao Hou, Jocelyn Chanussot, Changzhe Jiao, Xiangrong Zhang:
Polsar Land Cover Classification via Tensorial Embedding Methods. IGARSS 2019: 1224-1227 - [c205]Kuniaki Uto, Mauro Dalla Mura, Jocelyn Chanussot, Koichi Shinoda:
Estimation of Diffuse Component of Global Radiation Based on Leaf-Scale Crop Images. IGARSS 2019: 6263-6266 - [c204]Victor E. S. Parahyba, Regis Perrier, Eric de Borniol, Jocelyn Chanussot:
Intensity Calibration of a MCT-APD Sensor for a Flash Lidar System. IGARSS 2019: 8470-8473 - [c203]Xun Liu, Chenwei Deng, Baojun Zhao, Jocelyn Chanussot:
Multimodal-Temporal Fusion: Blending Multimodal Remote Sensing Images to Generate Image Series With High Temporal Resolution. IGARSS 2019: 10083-10086 - [c202]Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot:
Constructing a Braid of Partitions from Hierarchies of Partitions. ISMM 2019: 111-123 - [c201]Jing Qin, Harlin Lee, Jocelyn T. Chi, Yifei Lou, Jocelyn Chanussot, Andrea L. Bertozzi:
Fast Blind Hyperspectral Unmixing Based On Graph Laplacian. WHISPERS 2019: 1-5 - [c200]Sevcan Kahraman, Raphael Bacher, Tatsumi Uezato, Jocelyn Chanussot, Ali Tangel:
LiDAR-Guided Reduction Of Spectral Variability in Hyperspectral Imagery. WHISPERS 2019: 1-4 - [c199]Behnood Rasti, Pedram Ghamisi, Jocelyn Chanussot:
Mixed Noise Reduction in Hyperspectral Imagery. WHISPERS 2019: 1-4 - [c198]Suling Tan, Huan Liu, Yanfeng Gu, Jocelyn Chanussot:
Sequential Tensor Decomposition For Gas Tracking In Lwir Hyperspectral Video Sequences. WHISPERS 2019: 1-5 - [c197]Maxime Vono, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Annie Hughes, Jouni Kainulainen, David Languignon, Jacques Le Bourlot, François Levrier, Harvey S. Listz, Karin I. Oberg, Emeric Bron, Jan H. Orkisz, Nicolas Peretto, Jérome Pety, Antoine Roueff, Èvelyne Roueff, Albrecht Sievers, Victor de Souza Magalhaes, Pascal Tremblin, Pierre Chainais, Franck Le Petit, Sébastien Bardeau, Sébastien Bourguignon, Jocelyn Chanussot, Mathilde Gaudel, Maryvonne Gerin:
A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data. WHISPERS 2019: 1-5 - [c196]Minghua Wang, Qiang Wang, Jocelyn Chanussot:
L0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising. WHISPERS 2019: 1-6 - [c195]Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian:
Dynamic Material-Aware Object Tracking in Hyperspectral Videos. WHISPERS 2019: 1-6 - 2018
- [c194]Lucas Drumetz, Jocelyn Chanussot, Akira Iwasaki:
Endmembers as Directional Data for Robust Material Variability Retrieval in Hyperspectral Image Unmixing. ICASSP 2018: 3404-3408 - [c193]Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
A Study on Full Scale Injection Coefficients for Pansharpening. IGARSS 2018: 1756-1759 - [c192]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Consuelo Gonzalo-Martín, Javier Marcello:
Extended Linear Mixing Model in an Ecosytem with High Spectral Variability. IGARSS 2018: 2685-2688 - [c191]Huimin Yu, Zebin Wu, Jie Wei, Yang Xu, Jocelyn Chanussot, Andrea L. Bertozzi, Linlin Shi, Zhihui Wei:
GPU Parallel Implementation of Gas Plume Detection in Hyperspectral Video Sequences. IGARSS 2018: 2781-2784 - [c190]Edurne Ibarrola-Ulzurrun, Javier Marcello, Consuelo Gonzalo-Martín, Jocelyn Chanussot:
Evaluation of Hyperspectral Classification Maps in Heterogeneous Ecosystem. IGARSS 2018: 5764-5767 - [c189]Kuniaki Uto, Mauro Dalla Mura, Jocelyn Chanussot:
Spatial Resolution Enhancement of Optical Images Based on Tensor Decomposition. IGARSS 2018: 8058-8061 - [c188]Xun Liu, Chenwei Deng, Baojun Zhao, Jocelyn Chanussot:
Feature-Level Loss for Multispectral Pan-Sharpening with Machine Learning. IGARSS 2018: 8062-8065 - [c187]María Díaz, Jocelyn Chanussot, Raúl Guerra, Sebastián López, Roberto Sarmiento, Andrea L. Bertozzi:
A Novel Highly Parallel Algorithm For The Detection And Tracking Of Chemical Gas Plumes Using Hyperspectral Video Sequences. WHISPERS 2018: 1-5 - [c186]Edurne Ibarrola-Ulzurrun, Lucas Drumetz, Jocelyn Chanussot, Javier Marcello, Consuelo Gonzalo-Martín:
Classification Using Unmixing Models in Areas With Substantial Endmember Variability. WHISPERS 2018: 1-4 - [c185]Wenting Shang, Zebin Wu, Jie Wei, Yang Xu, Ling Qian, Zhihui Wei, Jocelyn Chanussot, Andrea L. Bertozzi:
Gas Plume Detection in Hyperspectral Video Sequence Using Tensor Nuclear Norm. WHISPERS 2018: 1-4 - 2017
- [c184]Lucas Drumetz, Guillaume Tochon, Jocelyn Chanussot, Christian Jutten:
Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity. LVA/ICA 2017: 381-391 - [c183]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot:
A comparison between real and complex Schott spherical symmetry test for PolSAR data analysis. ICASSP 2017: 4277-4280 - [c182]Lucas Drumetz, Guillaume Tochon, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten:
Improved Local Spectral Unmixing of hyperspectral data using an algorithmic regularization path for collaborative sparse regression. ICASSP 2017: 6190-6194 - [c181]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
Learning a low-coherence dictionary to address spectral variability for hyperspectral unmixing. ICIP 2017: 235-239 - [c180]Liang-Jian Deng, Gemine Vivone, Weihong Guo, Mauro Dalla Mura, Jocelyn Chanussot:
A variational pansharpening approach based on reproducible kernel Hilbert space and heaviside function. ICIP 2017: 535-539 - [c179]Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu:
Robust linear unmixing with enhanced sparsity. ICIP 2017: 3140-3144 - [c178]Geoffrey Iyer, Jocelyn Chanussot, Andrea L. Bertozzi:
A graph-based approach for feature extraction and segmentation of multimodal images. ICIP 2017: 3320-3324 - [c177]Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot:
Hyperspectral image inpainting based on collaborative total variation. ICIP 2017: 4282-4286 - [c176]Jocelyn Chanussot:
Keynote 2: Opportunities and challenges in hyperspectral remote sensing. ICSIPA 2017: viii - [c175]Théo Masson, Mauro Dalla Mura, Marie Dumont, Jocelyn Chanussot:
Using time series to improve endmembers estimation on multispectral images for snow monitoring. IGARSS 2017: 233-236 - [c174]Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot:
Collaborative total variation for hyperspectral pansharpening. IGARSS 2017: 2597-2600 - [c173]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot:
Information extraction by blind source separation from polarimetric SAR data. IGARSS 2017: 5326-5329 - [c172]Blanca Maria Priego Torres, Abraham Prieto, Richard J. Duro, Jocelyn Chanussot:
Spatio-temporal cellular automata-based filtering for image sequence denoising. IJCNN 2017: 2362-2369 - [c171]Blanca Maria Priego Torres, Richard J. Duro, Jocelyn Chanussot:
Cellular Automata-Based Image Sequence Denoising Algorithm for Signal Dependent Noise. IWINAC (2) 2017: 333-342 - 2016
- [c170]Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon:
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO 2016: 2176-2180 - [c169]Travis R. Meyer, Lucas Drumetz, Jocelyn Chanussot, Andrea L. Bertozzi, Christian Jutten:
Hyperspectral unmixing with material variability using social sparsity. ICIP 2016: 2187-2191 - [c168]Yang Xu, Zebin Wu, Zhihui Wei, Mauro Dalla Mura, Jocelyn Chanussot, Andrea L. Bertozzi:
GAS plume detection in hyperspectral video sequence using low rank representation. ICIP 2016: 2221-2225 - [c167]Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, Jefersson A. dos Santos:
Learning to semantically segment high-resolution remote sensing images. ICPR 2016: 3566-3571 - [c166]Wenzhi Liao, Mauro Dalla Mura, Xin Huang, Jocelyn Chanussot, Sidharta Gautama, Paul Scheunders, Wilfried Philips:
LiDAR information extraction by attribute filters with partial reconstruction. IGARSS 2016: 1484-1487 - [c165]Daniele Picone, Rocco Restaino, Gemine Vivone, Paolo Addesso, Jocelyn Chanussot:
Pansharpening of hyperspectral images: Exploiting data acquired by multiple platforms. IGARSS 2016: 7220-7223 - [c164]Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot:
Hyperspectral pansharpening using convex optimization and collaborative total variation regularization. WHISPERS 2016: 1-5 - [c163]Lucas Drumetz, Jocelyn Chanussot, Christian Jutten:
Variability of the endmembers in spectral unmixing: Recent advances. WHISPERS 2016: 1-5 - [c162]Théo Masson, Mauro Dalla Mura, Marie Dumont, Pascal Sirguey, Miguel Angel Veganzones, Jocelyn Chanussot, Jean-Pierre Dedieu:
Snow cover estimation based on spectral unmixing. WHISPERS 2016: 1-5 - [c161]Daniele Picone, Rocco Restaino, Gemine Vivone, Paolo Addesso, Mauro Dalla Mura, Jocelyn Chanussot:
Multispectral and hyperspectral data fusion based on SAM minimization band assignment approach. WHISPERS 2016: 1-5 - [c160]Guillaume Tochon, Lucas Drumetz, Miguel Angel Veganzones, Mauro Dalla Mura, Jocelyn Chanussot:
From local to global unmixing of hyperspectral images to reveal spectral variability. WHISPERS 2016: 1-5 - [c159]Guillaume Tochon, Delphine Pauwels, Mauro Dalla Mura, Jocelyn Chanussot:
Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. WHISPERS 2016: 1-5 - [c158]Miguel Angel Veganzones, Sylvain Douté, Jeremy E. Cohen, R. Cabrai Farias, Jocelyn Chanussot, Pierre Comon:
Nonnegative CP decomposition of multiangle hyperspectral data: A case study on CRISM observations of Martian ICY surface. WHISPERS 2016: 1-5 - 2015
- [c157]Miguel Angel Veganzones, Jeremy E. Cohen, R. Cabrai Farias, Ruben Marrero, Jocelyn Chanussot, Pierre Comon:
Multilinear spectral unmixing of hyperspectral multiangle images. EUSIPCO 2015: 744-748 - [c156]Mauro Dalla Mura, José M. Bioucas-Dias, Jocelyn Chanussot:
An analysis of collaborative representation schemes for the classification of hyperspectral images. EUSIPCO 2015: 754-758 - [c155]Gemine Vivone, Paolo Braca, Karl Granström, Antonio Natale, Jocelyn Chanussot:
Converted measurements random matrix approach to extended target tracking using X-band marine radar data. FUSION 2015: 976-983 - [c154]Carole Amiot, Catherine Girard, Jérémie Pescatore, Jocelyn Chanussot, Michel Desvignes:
Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering. ICIP 2015: 691-695 - [c153]Mauro Dalla Mura, Gemine Vivone, Rocco Restaino, Paolo Addesso, Jocelyn Chanussot:
Global and local Gram-Schmidt methods for hyperspectral pansharpening. IGARSS 2015: 37-40 - [c152]Gemine Vivone, Rocco Restaino, Mauro Dalla Mura, Jocelyn Chanussot:
Multi-band semiblind deconvolution for pansharpening applications. IGARSS 2015: 41-44 - [c151]Haris Ahmad Khan, Muhammad Murtaza Khan, Khurram Khurshid, Jocelyn Chanussot:
Saliency based visualization of hyper-spectral images. IGARSS 2015: 1096-1099 - [c150]Leandro Pralon, Gabriel Vasile, Mauro Dalla Mura, Jocelyn Chanussot, Nikola Besic:
Evaluation of ICA based ICTD for PolSAR data analysis in tropical forest scenario. IGARSS 2015: 3786-3789 - [c149]Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Jocelyn Chanussot:
A Pansharpening Algorithm Based on Morphological Filters. ISMM 2015: 98-109 - [c148]Guillaume Tochon, Mauro Dalla Mura, Jocelyn Chanussot:
Segmentation of Multimodal Images Based on Hierarchies of Partitions. ISMM 2015: 241-252 - [c147]Miguel Angel Veganzones, Mauro Dalla Mura, Guillaume Tochon, Jocelyn Chanussot:
Binary Partition Trees-Based Spectral-Spatial Permutation Ordering. ISMM 2015: 434-445 - [c146]Jike Chen, Junshi Xia, Peijun Du, Jocelyn Chanussot:
Combining rotation forest and multi-scale segmentation for the classification of hyperspectral data. WHISPERS 2015: 1-4 - [c145]Lucas Drumetz, Simon Henrot, Miguel Angel Veganzones, Jocelyn Chanussot, Christian Jutten:
Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability. WHISPERS 2015: 1-4 - [c144]Giorgio Licciardi, Miguel Angel Veganzones, Gemine Vivone, Laëtitia Loncan, Jocelyn Chanussot:
Impact of hybrid pansharpening approaches applied to hyperspectral images. WHISPERS 2015: 1-4 - [c143]Laëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet:
Hyperspectral pansharpening based on unmixing techniques. WHISPERS 2015: 1-4 - 2014
- [c142]Mauro Dalla Mura, Saurabh Prasad, Fabio Pacifici, Paolo Gamba, Jocelyn Chanussot:
Challenges and opportunities of multimodality and Data Fusion in Remote Sensing. EUSIPCO 2014: 106-110 - [c141]Douglas David Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre, Pierre Borgnat:
A new nonparametric method for testing stationarity based on trend analysis in the time marginal distribution. ICASSP 2014: 320-324 - [c140]Douglas David Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre:
On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach. ICASSP 2014: 325-329 - [c139]Manuel Cubero-Castan, Jocelyn Chanussot, Xavier Briottet, Michal Shimoni, Véronique Achard:
An unmixing-based method for the analysis of thermal hyperspectral images. ICASSP 2014: 7809-7813 - [c138]Miguel Angel Veganzones, Miguel Simões, Giorgio A. Licciardi, José M. Bioucas-Dias, Jocelyn Chanussot:
Hyperspectral super-resolution of locally low rank images from complementary multisource data. ICIP 2014: 703-707 - [c137]Razmig Kéchichian, Carole Amiot, Catherine Girard, Jérémie Pescatore, Jocelyn Chanussot, Michel Desvignes:
Image denoising using contextual modeling of curvelet coefficients. ICIP 2014: 2659-2663 - [c136]Mauro Dalla Mura, Gemine Vivone, Rocco Restaino, Jocelyn Chanussot:
Context-adaptive Pansharpening based on binary partition tree segmentation. ICIP 2014: 3924-3928 - [c135]Miguel Simões, José M. Bioucas-Dias, Luís B. Almeida, Jocelyn Chanussot:
Hyperspectral image superresolution: An edge-preserving convex formulation. ICIP 2014: 4166-4170 - [c134]François Cokelaer, Mauro Dalla Mura, Hugues Talbot, Jocelyn Chanussot:
Selective and robust d-dimensional path operators. ICIP 2014: 4767-4771 - [c133]Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot:
Binary partition trees-based robust adaptive hyperspectral RX anomaly detection. ICIP 2014: 5077-5081 - [c132]Manuel Cubero-Castan, Jocelyn Chanussot, Véronique Achard, Xavier Briottet, Michal Shimoni:
A physics-based unmixing method for thermal hyperspectral images. ICIP 2014: 5082-5086 - [c131]Giorgio A. Licciardi, Jocelyn Chanussot, Gabriel Vasile, Alessandro Piscini:
Enhancing hyperspectral image quality using nonlinear PCA. ICIP 2014: 5087-5091 - [c130]Giorgio A. Licciardi, Jocelyn Chanussot, Alessandro Piscini:
Spectral compression of hyperspectral images by means of nonlinear principal component analysis decorrelation. ICIP 2014: 5092-5096 - [c129]Gemine Vivone, Luciano Alparone, Jocelyn Chanussot, Mauro Dalla Mura, Andrea Garzelli, Giorgio Licciardi, Rocco Restaino, Lucien Wald:
A critical comparison of pansharpening algorithms. IGARSS 2014: 191-194 - [c128]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Alexandre Girard, Guy D'Urso:
Analysis of supplementary information emerging from the ICA based ICTD. IGARSS 2014: 1009-1012 - [c127]Maria Rosaria Vicinanza, Rocco Restaino, Gemine Vivone, Mauro Dalla Mura, Giorgio Licciardi, Jocelyn Chanussot:
A method for improving the consistency property of pansharpening algorithms. IGARSS 2014: 2534-2537 - [c126]Gemine Vivone, Rocco Restaino, Giorgio Licciardi, Mauro Dalla Mura, Jocelyn Chanussot:
MultiResolution Analysis and Component Substitution techniques for hyperspectral Pansharpening. IGARSS 2014: 2649-2652 - [c125]Miguel Angel Veganzones, Mauro Dalla Mura, Marie Dumont, Isabella Zin, Jocelyn Chanussot:
Improved subpixel monitoring of seasonal snow cover: A case study in the Alps. IGARSS 2014: 3976-3979 - [c124]Joana Frontera-Pons, Miguel Angel Veganzones, Santiago Velasco-Forero, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot:
Robust anomaly detection in Hyperspectral Imaging. IGARSS 2014: 4604-4607 - [c123]Lucas Drumetz, Miguel Angel Veganzones, Ruben Marrero, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, Jocelyn Chanussot:
Binary partition tree-based local spectral unmixing. WHISPERS 2014: 1-4 - [c122]Giorgio Licciardi, Miguel Angel Veganzones, Miguel Simões, José M. Bioucas-Dias, Jocelyn Chanussot:
Super-resolution of hyperspectral images using local spectral unmixing. WHISPERS 2014: 1-4 - [c121]Guillaume Tochon, Jocelyn Chanussot, Jérôme Gilles, Mauro Dalla Mura, Jen-Mei Chang, Andrea L. Bertozzi:
Gas plume detection and tracking in hyperspectral video sequences using Binary Partition Trees. WHISPERS 2014: 1-4 - [c120]Miguel Angel Veganzones, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, José M. Bioucas-Dias, Jocelyn Chanussot:
A new extended linear mixing model to address spectral variability. WHISPERS 2014: 1-4 - 2013
- [c119]Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot:
Hyperspectral image segmentation using a new spectral mixture-based binary partition tree representation. ICIP 2013: 245-249 - [c118]Blanca Maria Priego Torres, Miguel Angel Veganzones, Jocelyn Chanussot, Carole Amiot, Abraham Prieto, Richard J. Duro:
Spatio-temporal cellular automata-based filtering for image sequence denoising: Application to fluoroscopic sequences. ICIP 2013: 548-552 - [c117]Joana Frontera-Pons, Jean Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot:
Performance analysis of robust detectors for hyperspectral imaging. IGARSS 2013: 1067-1070 - [c116]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Didier Boldo, Guy D'Urso:
Wet snow backscattering sensitivity on density change for SWE estimation. IGARSS 2013: 1174-1177 - [c115]Pierre Formont, Miguel Angel Veganzones, Joana Frontera-Pons, Frédéric Pascal, Jean Philippe Ovarlez, Jocelyn Chanussot:
CFAR hierarchical clustering of polarimetric SAR data. IGARSS 2013: 2461-2464 - [c114]Gabriel Vasile, Nikola Besic, Andrei Anghel, Cornel Ioana, Jocelyn Chanussot:
Sphericity of complex stochastic models in multivariate SAR images. IGARSS 2013: 2994-2997 - [c113]Ruggero Giuseppe Avezzano, Giorgio Licciardi, Fabio Del Frate, Giovanni Schiavon, Jocelyn Chanussot:
Nonlinear PCA based polarimetric decomposition. IGARSS 2013: 3006-3009 - [c112]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Object recognition in urban hyperspectral images using Binary Partition Tree representation. IGARSS 2013: 4098-4101 - [c111]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Didier Boldo, Guy D'Urso:
Independent Component Analysis within polarimetric incoherent target decomposition. IGARSS 2013: 4158-4161 - [c110]Silvia Valero, Pietro Ceccato, Walter E. Baethgen, Jocelyn Chanussot:
Identification of agricultural crops in early stages using remote sensing images. IGARSS 2013: 4229-4232 - [c109]Miguel Angel Veganzones, Guillaume Tochon, Mauro Dalla Mura, Antonio J. Plaza, Jocelyn Chanussot:
A comparison study between windowing and binary partition trees for hyperspectral image information mining. IGARSS 2013: 4375-4378 - [c108]Carole Amiot, Jérémie Pescatore, Jocelyn Chanussot, Michel Desvignes:
Contextual filtering in curvelet domain for fluoroscopic sequences. Medical Imaging: Image Processing 2013: 86690N - [c107]Manuel Cubero-Castan, Xavier Briottet, Véronique Achard, Michal Shimoni, Jocelyn Chanussot:
The comparability of aggregated emissivity and temperature of heterogeneous pixel to conventional tes methods. WHISPERS 2013: 1-4 - [c106]Ruben Marrero, Sylvain Douté, Antonio Plaza, Jocelyn Chanussot:
Validation of spectral unmixing methods using photometry and topography information. WHISPERS 2013: 1-4 - [c105]Miguel Angel Veganzones, Joana Frontera-Pons, Jocelyn Chanussot, Jean Philippe Ovarlez:
On the use of the Hotelling's T2 statistic for the hierarchical clustering of hyperspectral data. WHISPERS 2013: 1-4 - 2012
- [c104]Douglas David Baptista de Souza, Jocelyn Chanussot, Anne-Catherine Favre, Pierre Borgnat:
A modified time-frequency method for testing wide-sense stationarity. ICASSP 2012: 3409-3412 - [c103]Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot:
Fusion of hyperspectral and panchromatic images: A hybrid use of indusion and nonlinear PCA. ICIP 2012: 2133-2136 - [c102]Xiyan He, Laurent Condat, Jocelyn Chanussot, Junshi Xia:
Pansharpening using total variation regularization. IGARSS 2012: 166-169 - [c101]Peijun Du, Junshi Xia, Jocelyn Chanussot, Xiyan He:
Hyperspectral remote sensing image classification based on the integration of support vector machine and random forest. IGARSS 2012: 174-177 - [c100]Naoto Yokoya, Jocelyn Chanussot, Akira Iwasaki:
Generalized bilinear model based nonlinear unmixing using semi-nonnegative matrix factorization. IGARSS 2012: 1365-1368 - [c99]Giorgio Licciardi, Xavier Ceamanos, Sylvain Douté, Jocelyn Chanussot:
Unsupervised nonlinear spectral unmixing by means of NLPCA applied to hyperspectral imagery. IGARSS 2012: 1369-1372 - [c98]Yousra Javed, Muhammad Murtaza Khan, Jocelyn Chanussot:
Population density estimation using textons. IGARSS 2012: 2206-2209 - [c97]Mathieu Fauvel, David Sheeren, Jocelyn Chanussot, Jón Atli Benediktsson:
Hedges detection using local directional features and support vector data description. IGARSS 2012: 2320-2323 - [c96]Bin Luo, Sylvain Douté, Xavier Ceamanos, Jocelyn Chanussot, Liangpei Zhang:
Extraction of minerals on the south pole of the planet Mars by unsupervised linear unmixing of hyperspectral images. IGARSS 2012: 3050-3053 - [c95]Joana Frontera-Pons, Mélanie Mahot, Jean Philippe Ovarlez, Frédéric Pascal, Sze Kim Pang, Jocelyn Chanussot:
A class of robust estimates for detection in hyperspectral images using elliptical distributions background. IGARSS 2012: 4166-4169 - [c94]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Jean-Pierre Dedieu, Guy D'Urso, Didier Boldo, Jean Philippe Ovarlez:
Dry snow backscattering sensitivity on density change for SWE estimation. IGARSS 2012: 4418-4421 - [c93]Nikola Besic, Gabriel Vasile, Jocelyn Chanussot, Srdjan Stankovic, Jean Philippe Ovarlez, Guy D'Urso, Didier Boldo, Jean-Pierre Dedieu:
Stochastically based wet snow mapping with SAR DATA. IGARSS 2012: 4859-4862 - [c92]Samuel Grosdidier, Silvia Valero, Jocelyn Chanussot, Roger Fjørtoft:
River network detection on simulated swot images based on curvilinear denoising and morphological detection. IGARSS 2012: 5454-5457 - [c91]Guillaume Tochon, Jean-Baptiste Féret, Roberta E. Martin, Raul Tupayachi, Jocelyn Chanussot, Gregory P. Asner:
Binary partition tree as a hyperspectral segmentation tool for tropical rainforests. IGARSS 2012: 6368-6371 - [c90]Sascha Klemenjak, Björn Waske, Silvia Valero, Jocelyn Chanussot:
Unsupervised river detection in RapidEye data. IGARSS 2012: 6860-6863 - [c89]Giorgio Licciardi, Alberto Villa, Muhammad Murtaza Khan, Jocelyn Chanussot:
Image fusion and spectral unmixing of hyperspectral images for spatial improvement of classification maps. IGARSS 2012: 7290-7293 - [c88]Panagiota Matsuka, Jocelyn Chanussot, Erwan Pathier, Philippe Guéguen:
A support vector regression approach for building seismic vulnerability assessment and evaluation from remote sensing and in-situ data. IGARSS 2012: 7533-7536 - [c87]Giorgio Licciardi, Ruggero Giuseppe Avezzano, Fabio Del Frate, Giovanni Schiavon, Jocelyn Chanussot:
Polarimetric sar target decomposition based on nonlinear decorrelation. TyWRRS 2012: 283-287 - [c86]Manuel Cubero-Castan, Xavier Briottet, Michal Shimoni, Véronique Achard, Jocelyn Chanussot:
Physic based aggregation model for the unmixing of temperature and optical properties in the infrared domain. WHISPERS 2012: 1-4 - [c85]Joana Frontera-Pons, Mélanie Mahot, Jean Philippe Ovarlez, Frédéric Pascal, Jocelyn Chanussot:
Robust detection using M-estimators for hyperspectral imaging. WHISPERS 2012: 1-4 - [c84]Paul D. Gader, Dmitri Dranishnikov, Alina Zare, Jocelyn Chanussot:
A sparsity promoting bilinear unmixing model. WHISPERS 2012: 1-4 - [c83]Michal Shimoni, Xavier Briottet, Manuel Cubero-Castan, Christiaan Perneel, Véronique Achard, Jocelyn Chanussot:
Performance analysis of unsupervised unmixing models for thermal hyepsrpectral. WHISPERS 2012: 1-4 - [c82]Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He:
Semi-supervised dimensionality reduction for hyperspectral remote sensing image classification. WHISPERS 2012: 1-4 - [c81]Naoto Yokoya, Jocelyn Chanussot, Akira Iwasaki:
Hyperspectral and multispectral data fusion based on nonlinear unmixing. WHISPERS 2012: 1-4 - 2011
- [c80]Yuliya Tarabalka, James C. Tilton, Jón Atli Benediktsson, Jocelyn Chanussot:
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery. ICASSP 2011: 1089-1092 - [c79]Florin-Marian Birleanu, Cornel Ioana, Alexandru Serbanescu, Jocelyn Chanussot:
A time-distributed phase space histogram for detecting transient signals. ICASSP 2011: 3844-3847 - [c78]Kévin Bernard, Yuliya Tarabalka, Jesús Angulo, Jocelyn Chanussot, Jón Atli Benediktsson:
A Stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images. ICIP 2011: 1265-1268 - [c77]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Hyperspectral image segmentation using Binary Partition Trees. ICIP 2011: 1273-1276 - [c76]Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson, Christian Jutten:
Unsupervised classification and spectral unmixing for sub-pixel labelling. IGARSS 2011: 71-74 - [c75]Fabio Pacifici, Jocelyn Chanussot, Qian Du:
2011 GRSS Data Fusion Contest: Exploiting WorldView-2 multi-angular acquisitions. IGARSS 2011: 1163-1166 - [c74]Paolo Gamba, Alberto Villa, Antonio Plaza, Jocelyn Chanussot, Jón Atli Benediktsson:
Urban area product simulation for the EnMap hyperspectral sensor. IGARSS 2011: 1259-1262 - [c73]Bin Luo, Chenghai Yang, Jocelyn Chanussot:
Linear unmixing of multidate hyperspectral imagery for crop yield estimation. IGARSS 2011: 1573-1576 - [c72]Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten:
Fusion of Hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. IGARSS 2011: 1783-1786 - [c71]Silvia Valero, Philippe Salembier, Jocelyn Chanussot, Carles M. Cuadras:
Improved Binary Partition Tree construction for hyperspectral images: Application to object detection. IGARSS 2011: 2515-2518 - [c70]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Mahalanobis kernel based on probabilistic principal component. IGARSS 2011: 3907-3910 - [c69]Jón Atli Benediktsson, Lorenzo Bruzzone, Jocelyn Chanussot, Mauro Dalla Mura, Philippe Salembier, Silvia Valero:
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees. ISMM 2011: 306-319 - [c68]Sylvain Douté, Xavier Ceamanos, Bin Luo, Frédéric Schmidt, Gwenaël Jouannic, Jocelyn Chanussot:
Validation of spectral unmixing algorithms applied on CRISM/MRO hyperspectral images. WHISPERS 2011: 1-4 - [c67]Giorgio Licciardi, Prashanth Reddy Marpu, Jón Atli Benediktsson, Jocelyn Chanussot:
Extended morphological profiles using auto-associative neural networks for hyperspectral data classification. WHISPERS 2011: 1-4 - 2010
- [c66]Bin Luo, Jocelyn Chanussot:
Geometrical features for the classification of very high resolution multispectral remote-sensing images. ICIP 2010: 1045-1048 - [c65]Bin Luo, Muhammad Murtaza Khan, Thibaut Bienvenu, Jocelyn Chanussot:
Pansharpening with a decision fusion based on the local size information. ICIP 2010: 1977-1980 - [c64]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
Comparison of merging orders and pruning strategies for Binary Partition Tree in hyperspectral data. ICIP 2010: 2565-2568 - [c63]Silvia Valero, Philippe Salembier, Jocelyn Chanussot:
New hyperspectral data representation using binary partition tree. IGARSS 2010: 80-83 - [c62]Bin Luo, Chenghai Yang, Jocelyn Chanussot:
Unsupervised linear unmixing of hyperspectral image for crop yield estimation. IGARSS 2010: 185-188 - [c61]Yuliya Tarabalka, Jón Atli Benediktsson, Jocelyn Chanussot, James C. Tilton:
A multiple classifier approach for spectral-spatial classification of hyperspectral data. IGARSS 2010: 1410-1413 - [c60]Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson, Magnus O. Ulfarsson, Christian Jutten:
Super-resolution: an efficient method to improve spatial resolution of hyperspectral images. IGARSS 2010: 2003-2006 - [c59]Jean-Matthieu Monnet, Frédéric Berger, Jocelyn Chanussot:
Support vector machines regression for estimation of forest parameters from airborne laser scanning data. IGARSS 2010: 2711-2714 - [c58]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Mahalanobis kernel for the classification of hyperspectral images. IGARSS 2010: 3724-3727 - [c57]Bin Luo, Xavier Ceamanos, Sylvain Douté, Jocelyn Chanussot:
Martian aerosol abundance estimation based on unmixing of hyperspectral imagery. WHISPERS 2010: 1-4 - [c56]Mauro Dalla Mura, Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone:
Classification of hyperspectral images by using morphological attribute filters and Independent Component Analysis. WHISPERS 2010: 1-4 - [c55]Alberto Villa, Jón Atli Benediktsson, Jocelyn Chanussot, Christian Jutten:
Independent Component Discriminant Analysis for hyperspectral image classification. WHISPERS 2010: 1-4 - 2009
- [c54]Bertrand Gottin, Irena Orovic, Cornel Ioana, Srdjan Stankovic, Jocelyn Chanussot:
Signal characterization using generalized "Time-phase derivatives" representation. ICASSP 2009: 3001-3004 - [c53]Muhammad Murtaza Khan, Jocelyn Chanussot, Luciano Alparone:
Pansharpening of Hyperspectral images using spatial distortion optimization. ICIP 2009: 2853-2856 - [c52]Bin Luo, Jocelyn Chanussot, Sylvain Douté:
Unsupervised endmember extraction: Application to hyperspectral images from Mars. ICIP 2009: 2869-2872 - [c51]Bin Luo, Jocelyn Chanussot:
Unsupervised classification of hyperspectral images by using linear unmixing algorithm. ICIP 2009: 2877-2880 - [c50]Silvia Valero, Jocelyn Chanussot, Jón Atli Benediktsson, Hugues Talbot, Björn Waske:
Directional mathematical morphology for the detection of the road network in Very High Resolution remote sensing images. ICIP 2009: 3725-3728 - [c49]Jesús Angulo, Santiago Velasco-Forero, Jocelyn Chanussot:
Multiscale Stochastic Watershed for Unsupervised Hyperspectral Image Segmentation. IGARSS (3) 2009: 93-96 - [c48]Alberto Villa, Jocelyn Chanussot, Christian Jutten, Jón Atli Benediktsson, Saïd Moussaoui:
On the Use of ICA for Hyperspectral Image Analysis. IGARSS (4) 2009: 97-100 - [c47]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Classification based Marker Selection for Watershed Transform of Hyperspectral Images. IGARSS (3) 2009: 105-108 - [c46]Santiago Velasco-Forero, Jesús Angulo, Jocelyn Chanussot:
Morphological Image Distances for Hyperspectral Dimensionality Exploration using Kernel-PCA and ISOMAP. IGARSS (3) 2009: 109-112 - [c45]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Kernel Principal Component Analysis for the Construction of the Extended Morphological Profile. IGARSS (2) 2009: 843-846 - [c44]Xavier Ceamanos, Björn Waske, Jón Atli Benediktsson, Jocelyn Chanussot, Johannes R. Sveinsson:
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data. MCS 2009: 62-71 - [c43]Muhammad Murtaza Khan, Jocelyn Chanussot, Luciano Alparone:
Hyperspectral pansharpening using QNR optimization constraint. WHISPERS 2009: 1-4 - [c42]Bin Luo, Jocelyn Chanussot, Sylvain Douté, Xavier Ceamanos:
Unsupervised endmember extraction of martian hyperspectral images. WHISPERS 2009: 1-4 - [c41]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson:
Classification of hyperspectral images using automatic marker selection and Minimum Spanning Forest. WHISPERS 2009: 1-4 - 2008
- [c40]Bertrand Gottin, Cornel Ioana, Srdjan Stankovic, Ljubisa Stankovic, Jocelyn Chanussot:
On the concept of time-frequency distributions based on complex-lag moments. EUSIPCO 2008: 1-5 - [c39]Tarek Habib, Jordi Inglada, Grégoire Mercier, Jocelyn Chanussot:
Speeding up Support Vector Machine (SVM) image classification by a kernel series expansion. ICIP 2008: 865-868 - [c38]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Adaptive pixel neighborhood definition for the classification of hyperspectral images with support vector machines and composite kernel. ICIP 2008: 1884-1887 - [c37]Muhammad Murtaza Khan, Luciano Alparone, Jocelyn Chanussot:
Pansharpening Quality Assessment using Modulation Transfer Function Filters. IGARSS (5) 2008: 61-64 - [c36]Jón Atli Benediktsson, Xavier Ceamanos, Björn Waske, Jocelyn Chanussot, Johannes R. Sveinsson, Mathieu Fauvel:
Ensemble Methods for Classification of Hyperspectral Data. IGARSS (1) 2008: 62-65 - [c35]Muhammad Murtaza Khan, Luciano Alparone, Jocelyn Chanussot:
QNR Optimization based Pansharpening. IGARSS (5) 2008: 73-76 - [c34]Tarek Habib, Jordi Inglada, Grégoire Mercier, Jocelyn Chanussot:
Assessment of Feature Selection Techniques for Support Vector Machine Classification of Satellite Imagery. IGARSS (4) 2008: 85-88 - [c33]Silvia Valero, Jocelyn Chanussot, Philippe Guéguen:
Classification of basic roof types based on VHR optical data and digital elevation model. IGARSS (4) 2008: 149-152 - [c32]Tarek Habib, Jordi Inglada, Grégoire Mercier, Jocelyn Chanussot:
On the Use of a New Additive Kernel for Change Detection using SVM. IGARSS (3) 2008: 162-165 - [c31]Alberto Villa, Mathieu Fauvel, Jocelyn Chanussot, Paolo Gamba, Jón Atli Benediktsson:
Gradient Optimization for multiple kernel's parameters in support vector machines classification. IGARSS (4) 2008: 224-227 - [c30]Yuliya Tarabalka, Jocelyn Chanussot, Jón Atli Benediktsson, Jesús Angulo, Mathieu Fauvel:
Segmentation and Classification of Hyperspectral Data using Watershed. IGARSS (3) 2008: 652-655 - 2007
- [c29]Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat:
Pan-sharpening using induction. IGARSS 2007: 314-317 - [c28]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A joint spatial and spectral SVM's classification of panchromatic images. IGARSS 2007: 1497-1500 - [c27]Tarek Habib, Jocelyn Chanussot, Jordi Inglada, Grégoire Mercier:
Abrupt change detection on multitemporal remote sensing images: a statistical overview of methodologies applied on real cases. IGARSS 2007: 2593-2596 - [c26]Pascal Sirguey, Renaud Mathieu, Yves Arnaud, Muhammad Murtaza Khan, Jocelyn Chanussot:
Improved resolution for the detection of snow with MODIS using wavelet fusion. IGARSS 2007: 3975-3978 - [c25]Antonio J. Plaza, Andreas Müller, Rudolph Richter, Torbjørn Skauli, Zbynek Malenovský, José M. Bioucas-Dias, Stefan Hofer, Jocelyn Chanussot, Christian Jutten, Véronique Carrère, Ivar Baarstad, Peter Kaspersen, Jens Nieke, Klaus I. Itten, Timo Hyvarinen, Paolo Gamba, Fabio Dell'Acqua, Jón Atli Benediktsson, Michael E. Schaepman, Jan G. P. W. Clevers, Bogdan Zagajewski:
HYPER-I-NET: European research network on hyperspectral imaging. IGARSS 2007: 4790-4793 - [c24]Paolo Gamba, Antonio J. Plaza, Jón Atli Benediktsson, Jocelyn Chanussot:
European perspectives in hyperspectral data analysis. IGARSS 2007: 4794-4797 - [c23]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson, Johannes R. Sveinsson:
Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles. IGARSS 2007: 4834-4837 - [c22]Jón Atli Benediktsson, Jocelyn Chanussot, Mathieu Fauvel:
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments. MCS 2007: 501-512 - 2006
- [c21]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Evaluation of Kernels for Multiclass Classification of Hyperspectral Remote Sensing Data. ICASSP (2) 2006: 813-816 - [c20]Antonio J. Plaza, Jón Atli Benediktsson, Joseph W. Boardman, Jason Brazile, Lorenzo Bruzzone, Gustavo Camps-Valls, Jocelyn Chanussot, Mathieu Fauvel, Paolo Gamba, J. Anthony Gualtieri, James C. Tilton, Giovanna Trianni:
Advanced Processing of Hyperspectral Images. IGARSS 2006: 1974-1978 - [c19]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
A Combined Support Vector Machines Classification Based on Decision Fusion. IGARSS 2006: 2494-2497 - [c18]Jon Aevar Palmason, Jón Atli Benediktsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Fusion of Morphological and Spectral Information for Classification of Hyperspectal Urban Remote Sensing Data. IGARSS 2006: 2506-2509 - 2005
- [c17]Jon Aevar Palmason, Jón Atli Benediktsson, Johannes R. Sveinsson, Jocelyn Chanussot:
Classification of hyperspectral data from urban areas using morphological preprocessing and independent component analysis. IGARSS 2005: 4 - [c16]Sigurjon O. Sigurjonsson, Jón Atli Benediktsson, Johannes R. Sveinsson, Gianni Lisini, Jocelyn Chanussot:
Street tracking based on SAR data from urban areas. IGARSS 2005: 1273-1276 - [c15]Emmanuel Trouvé, Gabriel Vasile, Michel Gay, Pierre Grussenmeyer, Jean-Marie Nicolas, Tania Landes, Mathieu Koehl, Jocelyn Chanussot, Andreea Julea:
Combining optical and SAR data to monitor temperate glaciers. IGARSS 2005: 2637-2640 - [c14]Mathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson:
Fusion of methods for the classification of remote sensing images from urban areas. IGARSS 2005: 2819-2822 - [c13]Jocelyn Chanussot, Patrick Bas, Lionel Bombrun:
Airborne remote sensing of vineyards for the detection of dead vine trees. IGARSS 2005: 3090-3093 - 2004
- [c12]Frédéric Maussang, Jocelyn Chanussot, Alain Hétet:
On the use of higher order statistics in SAS imagery [synthetic aperture sonar]. ICASSP (5) 2004: 269-272 - [c11]Jocelyn Chanussot:
Order filter with progressively decimated filtering window: application to colour image enhancement. ICIP 2004: 255-258 - [c10]Jón Atli Benediktsson, Jon Aevar Palmason, Johannes R. Sveinsson, Jocelyn Chanussot:
Decision level fusion in classification of hyperspectral data from urban areas. IGARSS 2004 - [c9]Jocelyn Chanussot, Jón Atli Benediktsson, Mathilde Vincent:
Classification of remote sensing images from urban areas using a fuzzy model. IGARSS 2004 - 2003
- [c8]Antoine Roueff, Jérôme I. Mars, Jocelyn Chanussot, Helle Pederson:
Simultaneous group and phase correction for the estimation of dispersive propagating waves in the time-frequency plane. ICASSP (3) 2003: 429-432 - [c7]Jocelyn Chanussot, Jón Atli Benediktsson, Martino Pesaresi:
On the use of morphological alternated sequential filters for the classification of remote sensing images from urban areas. IGARSS 2003: 473-475 - [c6]Jocelyn Chanussot, Alain Clément, Bertrand Vigouroux, J. Chabod:
Lossless compact histogram representation for multi-component images: application to histogram equalization. IGARSS 2003: 3940-3942 - 2002
- [c5]Antoine Roueff, Jocelyn Chanussot:
Estimation of polarization on time-scale plane for seismic wave separation. EUSIPCO 2002: 1-4 - 1999
- [c4]Jocelyn Chanussot, Michel Paindavoine, Patrick Lambert:
Real Time Vector Median Like Filter FPGA Design and Application to Color Image Filtering. ICIP (2) 1999: 414-418 - [c3]Philippe Bolon, Jocelyn Chanussot, Imad Issa, Patrick Lambert:
Comparison of Prefiltering Operators for Road Network Extraction in Sar Images. ICIP (2) 1999: 924-928 - [c2]Jocelyn Chanussot, Patrick Lambert:
Watershed approaches for color image segmentation. NSIP 1999: 129-133 - 1998
- [c1]Jocelyn Chanussot, Imad Issa, Patrick Lambert:
Adaptive directional order filters and mathematical morphology for road network extraction on SAR images. EUSIPCO 1998: 1-4
Parts in Books or Collections
- 2014
- [p1]Junshi Xia, Jocelyn Chanussot, Peijun Du, Xiyan He:
Rotation-Based Ensemble Classifiers for High-Dimensional Data. Fusion in Computer Vision 2014: 135-160
Editorship
- 2015
- [e2]Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot:
Mathematical Morphology and Its Applications to Signal and Image Processing - 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings. Lecture Notes in Computer Science 9082, Springer 2015, ISBN 978-3-319-18719-8 [contents] - 2010
- [e1]Jón Atli Benediktsson, Jocelyn Chanussot, Björn Waske:
2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010, Reykjavik, Iceland, 14-16, June, 2010. IEEE 2010 [contents]
Data and Artifacts
- 2024
- [d3]Antoine Bralet, Trong Nghia Ngo, Emmanuel Trouvé, Jocelyn Chanussot, Abdourrahmane M. Atto:
SAR-DEM-Optical Mountainous Dataset for Distortion Management. IEEE DataPort, 2024
- [d2]Antoine Bralet, Emmanuel Trouvé, Jocelyn Chanussot, Abdourrahmane M. Atto:
ISSLIDE: InSAR dataset for Slow SLIding area DEtection with machine learning. IEEE DataPort, 2024 - 2023
- [d1]David Alejandro Jimenez Sierra, Hernán Darío Benítez-Restrepo, Juan Felipe Florez-Ospina, Behnood Rasti, Jocelyn Chanussot:
Heterogeneous/Homogeneous Change Detection dataset. Zenodo, 2023
Informal and Other Publications
- 2024
- [i67]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
Fast Semi-supervised Unmixing using Non-convex Optimization. CoRR abs/2401.12609 (2024) - [i66]Chenyu Li, Bing Zhang, Danfeng Hong, Jing Yao, Jocelyn Chanussot:
Low-Rank Representations Meets Deep Unfolding: A Generalized and Interpretable Network for Hyperspectral Anomaly Detection. CoRR abs/2402.15335 (2024) - [i65]Jing Yao, Danfeng Hong, Chenyu Li, Jocelyn Chanussot:
SpectralMamba: Efficient Mamba for Hyperspectral Image Classification. CoRR abs/2404.08489 (2024) - [i64]Xin Wu, Zhanchao Huang, Li Wang, Jocelyn Chanussot, Jiaojiao Tian:
Multimodal Collaboration Networks for Geospatial Vehicle Detection in Dense, Occluded, and Large-Scale Events. CoRR abs/2405.08251 (2024) - [i63]Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Giovanni Poggi, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa:
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives. CoRR abs/2407.01355 (2024) - [i62]Christophe Karam, Jessy Matias, Xavier Breniere, Jocelyn Chanussot:
Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain. CoRR abs/2407.04484 (2024) - [i61]Ian Hough, Loïc Argentier, Ziyang Jiang, Tongshu Zheng, Mike Bergin, David Carlson, Jean-Luc Jaffrezo, Jocelyn Chanussot, Gaëlle Uzu:
Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential. CoRR abs/2407.13778 (2024) - [i60]Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Muhammad Usama, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Hamad Ahmed Altuwaijri, Swalpa Kumar Roy, Jocelyn Chanussot, Danfeng Hong:
Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification. CoRR abs/2408.01372 (2024) - [i59]Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiaoxiang Zhu:
SpectralEarth: Training Hyperspectral Foundation Models at Scale. CoRR abs/2408.08447 (2024) - 2023
- [i58]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
SUnAA: Sparse Unmixing using Archetypal Analysis. CoRR abs/2308.04771 (2023) - [i57]Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot:
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. CoRR abs/2308.09375 (2023) - [i56]Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu:
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks. CoRR abs/2309.16499 (2023) - [i55]Pourya Shamsolmoali, Jocelyn Chanussot, Huiyu Zhou, Yue Lu:
Efficient Object Detection in Optical Remote Sensing Imagery via Attention-based Feature Distillation. CoRR abs/2310.18676 (2023) - [i54]Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot:
SpectralGPT: Spectral Foundation Model. CoRR abs/2311.07113 (2023) - 2022
- [i53]Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, Behnood Rasti, Antonio Plaza, Jocelyn Chanussot:
Multimodal Fusion Transformer for Remote Sensing Image Classification. CoRR abs/2203.16952 (2022) - [i52]Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, Antonio J. Plaza:
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. CoRR abs/2204.09120 (2022) - [i51]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review. CoRR abs/2205.01380 (2022) - [i50]Danfeng Hong, Jing Yao, Deyu Meng, Naoto Yokoya, Jocelyn Chanussot:
Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion. CoRR abs/2205.03742 (2022) - [i49]Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Jocelyn Chanussot, Jie Yang:
Enhanced Single-shot Detector for Small Object Detection in Remote Sensing Images. CoRR abs/2205.05927 (2022) - [i48]Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review. CoRR abs/2205.06407 (2022) - [i47]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR abs/2206.12117 (2022) - [i46]Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal:
Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. CoRR abs/2209.11002 (2022) - [i45]Jules Bourcier, Gohar Dashyan, Jocelyn Chanussot, Karteek Alahari:
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery. CoRR abs/2210.06786 (2022) - [i44]Jules Bourcier, Thomas Floquet, Gohar Dashyan, Tugdual Ceillier, Karteek Alahari, Jocelyn Chanussot:
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection. CoRR abs/2210.11815 (2022) - [i43]Xin Wu, Danfeng Hong, Jocelyn Chanussot:
UIU-Net: U-Net in U-Net for Infrared Small Object Detection. CoRR abs/2212.00968 (2022) - 2021
- [i42]Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu:
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. CoRR abs/2103.01449 (2021) - [i41]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. CoRR abs/2103.16204 (2021) - [i40]Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen:
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery. CoRR abs/2105.04132 (2021) - [i39]Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani:
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization. CoRR abs/2105.05631 (2021) - [i38]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. CoRR abs/2105.10194 (2021) - [i37]Danfeng Hong, Jingliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu:
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model. CoRR abs/2105.10196 (2021) - [i36]Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang:
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery. CoRR abs/2106.00880 (2021) - [i35]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers. CoRR abs/2107.02988 (2021) - [i34]Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao:
Unsupervised Outlier Detection using Memory and Contrastive Learning. CoRR abs/2107.12642 (2021) - [i33]Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang:
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images. CoRR abs/2108.08063 (2021) - [i32]Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal:
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. CoRR abs/2111.09708 (2021) - [i31]Maysam Behmanesh, Peyman Adibi, Sayyed Mohammad Saeed Ehsani, Jocelyn Chanussot:
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network. CoRR abs/2111.13361 (2021) - [i30]Tian-Jing Zhang, Liang-Jian Deng, Ting-Zhu Huang, Jocelyn Chanussot, Gemine Vivone:
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening. CoRR abs/2112.02237 (2021) - 2020
- [i29]Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jón Atli Benediktsson:
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep. CoRR abs/2003.02822 (2020) - [i28]David Alejandro Jimenez Sierra, Hernán Darío Benítez-Restrepo, Hernán Darío Vargas Cardona, Jocelyn Chanussot:
Graph-based fusion for change detection in multi-spectral images. CoRR abs/2004.00786 (2020) - [i27]Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot:
Hyperspectral Image Super-resolution via Deep Spatio-spectral Convolutional Neural Networks. CoRR abs/2005.14400 (2020) - [i26]Danfeng Hong, Naoto Yokoya, Gui-Song Xia, Jocelyn Chanussot, Xiao Xiang Zhu:
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data. CoRR abs/2006.13806 (2020) - [i25]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.05230 (2020) - [i24]Danfeng Hong, Jing Yao, Xin Wu, Jocelyn Chanussot, Xiao Xiang Zhu:
Spatial-Spectral Manifold Embedding of Hyperspectral Data. CoRR abs/2007.08767 (2020) - [i23]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning. CoRR abs/2007.14006 (2020) - [i22]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.14007 (2020) - [i21]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. CoRR abs/2008.02457 (2020) - [i20]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification. CoRR abs/2008.05457 (2020) - [i19]Haixia Bi, Jing Yao, Zhiqiang Wei, Danfeng Hong, Jocelyn Chanussot:
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field. CoRR abs/2009.05942 (2020) - [i18]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Jian Xu, Xiao Xiang Zhu:
Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction. CoRR abs/2009.10003 (2020) - 2019
- [i17]Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiao Xiang Zhu:
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification. CoRR abs/1901.02838 (2019) - [i16]Xin Wu, Danfeng Hong, Jiaojiao Tian, Jocelyn Chanussot, Wei Li, Ran Tao:
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features. CoRR abs/1901.07925 (2019) - [i15]Xin Wu, Danfeng Hong, Jocelyn Chanussot, Yang Xu, Ran Tao, Yue Wang:
Fourier-based Rotation-invariant Feature Boosting: An Efficient Framework for Geospatial Object Detection. CoRR abs/1905.11074 (2019) - [i14]Keiller Nogueira, Jocelyn Chanussot, Mauro Dalla Mura, William Robson Schwartz, Jefersson A. dos Santos:
An Introduction to Deep Morphological Networks. CoRR abs/1906.01751 (2019) - [i13]Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot:
Online Structured Sparsity-based Moving Object Detection from Satellite Videos. CoRR abs/1911.12989 (2019) - [i12]Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya, Jian Kang, Xiao Xiang Zhu:
Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data. CoRR abs/1912.08837 (2019) - [i11]Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu:
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. CoRR abs/1912.08847 (2019) - 2018
- [i10]Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot, William Robson Schwartz, Jefersson A. dos Santos:
Dynamic Multi-Scale Semantic Segmentation based on Dilated Convolutional Networks. CoRR abs/1804.04020 (2018) - [i9]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing. CoRR abs/1810.12000 (2018) - [i8]Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiao Xiang Zhu:
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences. CoRR abs/1812.11501 (2018) - 2017
- [i7]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation. CoRR abs/1711.04483 (2017) - 2016
- [i6]Miguel Simões, Luís B. Almeida, José M. Bioucas-Dias, Jocelyn Chanussot:
A General Framework for Fast Image Deconvolution with Incomplete Observations. Applications to Unknown Boundaries, Inpainting, Superresolution, and Demosaicing. CoRR abs/1602.01410 (2016) - 2015
- [i5]Laëtitia Loncan, Luís B. Almeida, José M. Bioucas-Dias, Xavier Briottet, Jocelyn Chanussot, Nicolas Dobigeon, Sophie Fabre, Wenzhi Liao, Giorgio A. Licciardi, Miguel Simões, Jean-Yves Tourneret, Miguel Angel Veganzones, Gemine Vivone, Qi Wei, Naoto Yokoya:
Hyperspectral pansharpening: a review. CoRR abs/1504.04531 (2015) - [i4]Simon Henrot, Jocelyn Chanussot, Christian Jutten:
Dynamical spectral unmixing of multitemporal hyperspectral images. CoRR abs/1510.04238 (2015) - 2014
- [i3]Miguel Simões, José M. Bioucas-Dias, Luís B. Almeida, Jocelyn Chanussot:
Hyperspectral image superresolution: An edge-preserving convex formulation. CoRR abs/1403.8098 (2014) - [i2]Miguel Simões, José M. Bioucas-Dias, Luís B. Almeida, Jocelyn Chanussot:
A convex formulation for hyperspectral image superresolution via subspace-based regularization. CoRR abs/1411.4005 (2014) - 2012
- [i1]Mathieu Fauvel, Alberto Villa, Jocelyn Chanussot, Jón Atli Benediktsson:
Parsimonious Mahalanobis Kernel for the Classification of High Dimensional Data. CoRR abs/1206.4481 (2012)
Coauthor Index
[j354] [j125] [j120] [j116] [j105] [j101] [j86] [j70] [j66] [j61] [j59] [j57] [j56] [j55] [j49] [j48] [j47] [j46] [j45] [j41] [j40] [j39] [j38] [j34] [j31] [j30] [j29] [j27] [j26] [j25] [j22] [j18] [j10] [j6] [j4] [c97] [c80] [c78] [c76] [c74] [c70] [c69] [c67] [c61] [c60] [c58] [c56] [c55] [c50] [c48] [c47] [c45] [c44] [c41] [c38] [c36] [c31] [c30] [c28] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c10] [c9] [c7] [e2] [e1] [i54] [i29] [i1]
[j363] [j359] [j354] [j350] [j347] [j326] [j317] [j310] [j307] [j304] [j303] [j301] [j298] [j294] [j293] [j292] [j285] [j284] [j281] [j280] [j279] [j278] [j277] [j276] [j274] [j273] [j269] [j268] [j265] [j264] [j260] [j258] [j256] [j250] [j247] [j243] [j242] [j238] [j233] [j232] [j230] [j228] [j225] [j220] [j216] [j212] [j209] [j208] [j206] [j205] [j204] [j202] [j200] [j198] [j189] [j188] [j176] [j155] [j153] [j152] [j149] [c225] [c224] [c222] [c221] [c219] [c216] [c212] [c211] [c210] [c181] [i66] [i65] [i60] [i56] [i54] [i53] [i51] [i50] [i48] [i43] [i42] [i38] [i37] [i35] [i29] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i12] [i11] [i9] [i8]
Wenzi Liao
aka: Wenzhi Liao
aka: Wenzhi Liao
Giorgio Licciardi
aka: Giorgio A. Licciardi
aka: Giorgio A. Licciardi
[j223] [j219] [j201] [j168] [j166] [j163] [j160] [j158] [j151] [j142] [j135] [j130] [j128] [j124] [j122] [j121] [j119] [j118] [j117] [j114] [j111] [j107] [j104] [j103] [j102] [j99] [j93] [j91] [j86] [j80] [j78] [j75] [j72] [j66] [j65] [j46] [j38] [c205] [c202] [c189] [c183] [c180] [c177] [c175] [c174] [c173] [c168] [c167] [c166] [c164] [c162] [c161] [c160] [c159] [c156] [c153] [c152] [c150] [c149] [c148] [c147] [c142] [c136] [c134] [c129] [c127] [c126] [c125] [c123] [c121] [c120] [c119] [c109] [c69] [c56] [i14] [i10]
Antonio Plaza
aka: Antonio J. Plaza
aka: Antonio J. Plaza
[j359] [j350] [j344] [j333] [j322] [j316] [j314] [j313] [j291] [j288] [j262] [j261] [j224] [j210] [j199] [j191] [j190] [j174] [j170] [j167] [j158] [j150] [j136] [j133] [j131] [j130] [j128] [j122] [j114] [j99] [j91] [j80] [j78] [j72] [c239] [c228] [c193] [c180] [c177] [c174] [c165] [c164] [c161] [c155] [c153] [c152] [c149] [c144] [c136] [c129] [c127] [c126] [i63] [i30] [i27] [i5]
[j359] [j354] [j350] [j342] [j307] [j298] [j293] [j284] [j280] [j279] [j278] [j268] [j265] [j260] [j259] [j258] [j256] [j245] [j230] [j225] [j220] [j216] [j209] [j208] [j206] [j200] [j177] [j145] [j113] [c232] [c225] [c222] [c219] [i66] [i56] [i54] [i51] [i48] [i41] [i40] [i38] [i35] [i23] [i22] [i21] [i20]
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