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2020 – today
- 2024
[j20]Weikang Yu, Yonghao Xu
, Pedram Ghamisi:
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. Int. J. Appl. Earth Obs. Geoinformation 133: 104131 (2024)- [j19]Tao Bai, Yiming Cao, Yonghao Xu, Bihan Wen:
Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j18]Yichu Xu, Yonghao Xu, Hongzan Jiao, Zhi Gao, Lefei Zhang:
S³ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j17]Yonghao Xu, Bo Du, Liangpei Zhang:
Robust Self-Ensembling Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3780-3793 (2024) - [c11]Yonghao Xu, Amanda Berg, Leif Haglund:
SEN2FIRE: A Challenging Benchmark Dataset for Wildfire Detection Using Sentinel Data. IGARSS 2024: 239-243 - [i15]Yonghao Xu, Amanda Berg, Leif Haglund:
Sen2Fire: A Challenging Benchmark Dataset for Wildfire Detection using Sentinel Data. CoRR abs/2403.17884 (2024) - [i14]Yonghao Xu, Pedram Ghamisi, Yannis Avrithis:
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data. CoRR abs/2405.06502 (2024) - 2023
- [j16]Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi:
Backdoor Attacks for Remote Sensing Data With Wavelet Transform. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j15]Jiaqi Yang, Bo Du, Yonghao Xu, Liangpei Zhang:
Can Spectral Information Work While Extracting Spatial Distribution? - An Online Spectral Information Compensation Network for HSI Classification. IEEE Trans. Image Process. 32: 2360-2373 (2023) - [j14]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Trans. Image Process. 32: 5737-5750 (2023) - [j13]Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Trans. Multim. 25: 7837-7850 (2023) - [c10]Itza Hernandez-Sequeira, Rubén Fernández-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla:
Semi-supervised Classification for Remote Sensing Datasets. ICIAP (1) 2023: 463-474 - [i13]Weikang Yu, Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. CoRR abs/2307.16865 (2023) - [i12]Michael Schmitt, Seyed Ali Ahmadi, Yonghao Xu, Gülsen Taskin, Ujjwal Verma, Francescopaolo Sica, Ronny Hänsch:
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation. CoRR abs/2310.19231 (2023) - 2022
- [j12]Jingwen Yuan, Shugen Wang, Chen Wu, Yonghao Xu:
Fine-Grained Classification of Urban Functional Zones and Landscape Pattern Analysis Using Hyperspectral Satellite Imagery: A Case Study of Wuhan. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 3972-3991 (2022) - [j11]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9927-9942 (2022) - [j10]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j9]Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j8]Yonghao Xu, Pedram Ghamisi:
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations. IEEE Trans. Image Process. 31: 5038-5051 (2022) - [c9]Yonghao Xu, Weikang Yu, Pedram Ghamisi:
Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. CDCEO@IJCAI 2022: 73-78 - [c8]Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter:
The Landslide4Sense Competition 2022. CDCEO@IJCAI 2022: 91 - [i11]Yonghao Xu, Pedram Ghamisi:
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. CoRR abs/2202.03740 (2022) - [i10]Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. CoRR abs/2202.07054 (2022) - [i9]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. CoRR abs/2206.00515 (2022) - [i8]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. CoRR abs/2208.04441 (2022) - [i7]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. CoRR abs/2209.02556 (2022) - [i6]Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi:
Backdoor Attacks for Remote Sensing Data with Wavelet Transform. CoRR abs/2211.08044 (2022) - [i5]Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. CoRR abs/2212.09360 (2022) - 2021
- [j7]Yonghao Xu, Bo Du, Liangpei Zhang:
Assessing the Threat of Adversarial Examples on Deep Neural Networks for Remote Sensing Scene Classification: Attacks and Defenses. IEEE Trans. Geosci. Remote. Sens. 59(2): 1604-1617 (2021) - [j6]Di Wang, Bo Du, Liangpei Zhang, Yonghao Xu:
Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(3): 2461-2477 (2021) - [j5]Yonghao Xu, Bo Du, Liangpei Zhang:
Self-Attention Context Network: Addressing the Threat of Adversarial Attacks for Hyperspectral Image Classification. IEEE Trans. Image Process. 30: 8671-8685 (2021) - [c7]Yonghao Xu, Pedram Ghamisi:
Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. CIKM Workshops 2021 - [i4]Yonghao Xu, Bo Du, Liangpei Zhang:
Robust Self-Ensembling Network for Hyperspectral Image Classification. CoRR abs/2104.03765 (2021) - [i3]Hongruixuan Chen, Chen Wu, Yonghao Xu, Bo Du:
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer. CoRR abs/2109.08912 (2021) - [i2]Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao:
Self-Ensembling GAN for Cross-Domain Semantic Segmentation. CoRR abs/2112.07999 (2021) - 2020
- [j4]Yonghao Xu, Bo Du, Liangpei Zhang:
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Big Data 6(3): 492-506 (2020) - [j3]Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang:
Learning From Synthetic Images via Active Pseudo-Labeling. IEEE Trans. Image Process. 29: 6452-6465 (2020)
2010 – 2019
- 2019
- [j2]Yonghao Xu, Bo Du, Liangpei Zhang, Daniele Cerra, Miguel Pato, Emiliano Carmona, Saurabh Prasad, Naoto Yokoya, Ronny Hänsch, Bertrand Le Saux:
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1709-1724 (2019) - [c6]Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang, Liangpei Zhang:
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation. AAAI 2019: 5581-5588 - [c5]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CVPR 2019: 10522-10531 - [c4]Yonghao Xu, Bo Du, Liangpei Zhang:
Simultaneous Segmentation and Edge Detection for Hyperspectral Image Via a Deep Supervised and boundary-constrained Network. IGARSS 2019: 3860-3863 - [i1]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR abs/1904.02870 (2019) - 2018
- [j1]Yonghao Xu, Liangpei Zhang, Bo Du, Fan Zhang:
Spectral-Spatial Unified Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(10): 5893-5909 (2018) - [c3]Yonghao Xu, Bo Du, Liangpei Zhang:
Multi-Source Remote Sensing Data Classification via Fully Convolutional Networks and Post-Classification Processing. IGARSS 2018: 3852-3855 - [c2]Yonghao Xu, Bo Du, Liangpei Zhang:
Can We Generate Good Samples for Hyperspectral Classification? - A Generative Adversarial Network Based Method. IGARSS 2018: 5752-5755 - 2017
- [c1]Yonghao Xu, Bo Du, Liangpei Zhang, Fan Zhang:
A Band Grouping Based LSTM Algorithm for Hyperspectral Image Classification. CCCV (2) 2017: 421-432
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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