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ORCIDFeng Gao 0005
Person information
- affiliation: Ocean University of China, Institute of Marine Development, Qingdao, China
- affiliation (former): Beihang University, Beijing Key Laboratory of Digital Media, Beijing, China
Other persons with the same name
- Feng Gao — disambiguation page
- Feng Gao 0001
![[0000-0002-9563-3841]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9563-3841")
— Tianjin University, Department of Physics, China - Feng Gao 0002 — University of British Columbia, Vancouver, BC, Canada (and 1 more)
- Feng Gao 0003 — Wuhan University of Science and Technology, Department of Computer Science and Technology, China (and 1 more)
- Feng Gao 0004 — Washington University in St. Louis, School of Medicine, Department of Surgery, St. Louis, MO, USA (and 1 more)
- Feng Gao 0006 — University of Huddersfield, UK (and 2 more)
- Feng Gao 0007 — Chongqing University, School of Automotive Engineering, China (and 2 more)
- Feng Gao 0008 — Shandong University, School of Electrical Engineering, Jinan, China (and 1 more)
- Feng Gao 0009 — US Department of Agriculture, Agricultural Research Service, Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA (and 4 more)
- Feng Gao 0010 — Harbin Engineering University, College of Automation, Harbin, China
- Feng Gao 0011 — Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, Shanghai, China
- Feng Gao 0012 — University of Southampton, UK
- Feng Gao 0013 — UCLA, Department of Statistics, Los Angeles, CA, USA
- Feng Gao 0014 — Tsinghua University, Future Laboratory, Beijing, China (and 1 more)
- Feng Gao 0015 — Xi'an Jiaotong University, SKLMS Laboratory, China (and 1 more)
- Feng Gao 0016 — Rensselaer Polytechnic Institute, Department of Computer Science, USA
- Feng Gao 0017 — Advanced Micro Devices, Inc., Boxborough, MA, USA (and 1 more)
- Feng Gao 0018 — Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China (and 1 more)
- Feng Gao 0019 — Beijing Institute of Technology, School of Cyberspace Science and Technology, China
- Feng Gao 0020 — Guangzhou University, School of Geography and Remote Sensing, Guangzhou Urban Planning and Design Survey Research Institute, China
- Feng Gao 0021 — ShanghaiTech University, Hybrid Imaging System Laboratory, School of Information Science and Technology, China
- Feng Gao 0022 — Microsoft Azure, Redmond, WA, USA
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2020 – today
- 2024
[j41]Shuai Hu, Feng Gao, Xiaowei Zhou, Junyu Dong, Qian Du:
Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j40]Lin Qi, Mengyi Yue, Feng Gao, Bing Cao, Junyu Dong, Xinbo Gao:
Deep Attention-Guided Spatial-Spectral Network for Hyperspectral Image Unmixing. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - 2023
- [j39]Amanuel Hirpa Madessa, Junyu Dong, Yanhai Gan, Feng Gao:
A deep learning approach for specular highlight removal from transmissive materials. Expert Syst. J. Knowl. Eng. 40(2) (2023) - [j38]Lin Qi, Xuewen Qin, Feng Gao, Junyu Dong, Xinbo Gao:
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j37]Haopeng Zhang, Zijing Lin, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j36]Maqun Zhang, Feng Gao, Tiange Zhang, Yanhai Gan, Junyu Dong, Hui Yu:
Attention Fusion of Transformer-Based and Scale-Based Method for Hyperspectral and LiDAR Joint Classification. Remote. Sens. 15(3): 650 (2023) - [j35]Haodong Pan, Feng Gao, Junyu Dong, Qian Du:
Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3045-3059 (2023) - [j34]Junyan Lin, Feng Gao, Xiaochen Shi, Junyu Dong, Qian Du:
SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j33]Yuxin Meng, Feng Gao, Eric Rigall, Ran Dong, Junyu Dong, Qian Du:
Physical Knowledge-Enhanced Deep Neural Network for Sea Surface Temperature Prediction. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j32]Lin Qi, Zhenwei Chen, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du:
Multiview Spatial-Spectral Two-Stream Network for Hyperspectral Image Unmixing. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j31]Meng Wang, Feng Gao, Junyu Dong, Heng-Chao Li, Qian Du:
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j30]Yuan Rao, Yakun Ju, Sen Wang, Feng Gao, Hao Fan, Junyu Dong:
Learning Enriched Feature Descriptor for Image Matching and Visual Measurement. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j29]Yuxin Meng, Eric Rigall, Xueen Chen, Feng Gao, Junyu Dong, Sheng Chen:
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3357-3370 (2023) - [c29]Xiaochen Shi, Junyan Lin, Yuan Rao, Yue Sun, Feng Gao:
Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification. IGARSS 2023: 1265-1268 - [c28]Zimo Yang, Lin Qi, Feng Gao, Junyan Lin:
Multiview Siamese Collaborative Network for Hyperspectral Image Unmixing. IGARSS 2023: 5902-5905 - [c27]Liang Lv, Junyan Lin, Feng Gao, Lin Qi, Junyu Dong:
Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network. IGARSS 2023: 6282-6285 - [c26]Shuai Hu, Yikun Hu, Junyan Lin, Feng Gao, Junyu Dong:
Multi-Scale Transformer Network for Hyperspectral Image Denoising. IGARSS 2023: 7328-7331 - [i17]Meng Wang, Feng Gao, Junyu Dong, Heng-Chao Li, Qian Du:
Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification. CoRR abs/2301.03335 (2023) - [i16]Haodong Pan, Feng Gao, Junyu Dong, Qian Du:
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising. CoRR abs/2304.09373 (2023) - [i15]Yuxin Meng, Feng Gao, Eric Rigall, Ran Dong, Junyu Dong, Qian Du:
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction. CoRR abs/2304.09376 (2023) - [i14]Lin Qi, Xuewen Qin, Feng Gao, Junyu Dong, Xinbo Gao:
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images. CoRR abs/2304.11320 (2023) - [i13]Haopeng Zhang, Zijing Lin, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection. CoRR abs/2309.12010 (2023) - [i12]Junyan Lin, Feng Gao, Xiaocheng Shi, Junyu Dong, Qian Du:
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification. CoRR abs/2311.04442 (2023) - 2022
- [j28]Yakun Ju, Yuxin Peng, Muwei Jian, Feng Gao, Junyu Dong:
Learning conditional photometric stereo with high-resolution features. Comput. Vis. Media 8(1): 105-118 (2022) - [j27]Fengqin Yao, Shengke Wang, Rui Li, Long Chen, Feng Gao, Junyu Dong:
An accurate box localization method based on rotated-RPN with weighted edge attention for bin picking. Neurocomputing 482: 264-277 (2022) - [j26]Yanru Liu, Yakun Ju, Muwei Jian, Feng Gao, Yuan Rao, Yeqi Hu, Junyu Dong:
A deep-shallow and global-local multi-feature fusion network for photometric stereo. Image Vis. Comput. 118: 104368 (2022) - [j25]Desen Meng, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j23]Tiange Zhang, Feng Gao, Junyu Dong, Qian Du:
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j22]Haoran Zhao, Xin Sun, Feng Gao, Junyu Dong:
Pair-Wise Similarity Knowledge Distillation for RSI Scene Classification. Remote. Sens. 14(10): 2483 (2022) - [j21]Junjie Wang, Feng Gao, Junyu Dong, Shan Zhang, Qian Du:
Change Detection From Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1823-1836 (2022) - [j20]Junjie Wang, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Change Detection From Synthetic Aperture Radar Images via Dual Path Denoising Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2667-2680 (2022) - [j19]Yanhai Gan, Xinghui Dong, Huiyu Zhou, Feng Gao, Junyu Dong:
Learning the Precise Feature for Cluster Assignment. IEEE Trans. Cybern. 52(8): 8587-8600 (2022) - [j18]Wen-Shuai Hu, Heng-Chao Li, Rui Wang, Feng Gao, Qian Du, Antonio Plaza:
Pseudo Complex-Valued Deformable ConvLSTM Neural Network With Mutual Attention Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j17]Lin Qi, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du:
SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j16]Yanhai Gan, Feng Gao, Junyu Dong, Sheng Chen:
Arbitrary-Scale Texture Generation From Coarse-Grained Control. IEEE Trans. Image Process. 31: 5841-5855 (2022) - [c25]Shuting Jiao, Shu Zhang, Feng Gao, Ting Wang:
Data Security Search Based on Semi-Supervised Sensitive Classifier. ICDIS 2022: 168-173 - [c24]Zhuoran Gong, Feng Gao, Junyu Dong, Lin Qi:
Hyperspectral Image Denoising Based on Parallel Cross-Fusion Network. IGARSS 2022: 1528-1531 - [c23]Maqun Zhang, Feng Gao, Junyu Dong, Lin Qi:
Multi-Scale Feature Fusion for Hyperspectral and Lidar Data Joint Classification. IGARSS 2022: 2856-2859 - [c22]Xin Li, Feng Gao, Junyu Dong, Lin Qi:
Change Detection in Sar Images Based on A Multi-Scale Attention Convolution Network. IGARSS 2022: 3219-3222 - [i11]Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li:
SAR Image Change Detection Based on Multiscale Capsule Network. CoRR abs/2201.08935 (2022) - [i10]Junjie Wang, Feng Gao, Junyu Dong, Qian Du:
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification. CoRR abs/2201.08938 (2022) - [i9]Junjie Wang, Feng Gao, Junyu Dong, Shan Zhang, Qian Du:
Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network. CoRR abs/2201.08954 (2022) - [i8]Junjie Wang, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network. CoRR abs/2203.06543 (2022) - [i7]Desen Meng, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network. CoRR abs/2208.04481 (2022) - 2021
- [j15]Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li:
SAR Image Change Detection Based on Multiscale Capsule Network. IEEE Geosci. Remote. Sens. Lett. 18(3): 484-488 (2021) - [j14]Yunhao Gao, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10748-10760 (2021) - [j13]Junjie Wang, Feng Gao, Junyu Dong, Qian Du:
Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(6): 5040-5053 (2021) - [c21]Chengji Zhu, Guozhong Liu, Lu Liu, Feng Gao, Qi Gao:
Kinect-Based Substation Operation and Maintenance Action Recognition Method. ICAIIS 2021: 70:1-70:7 - [c20]Yan Gao, Feng Gao, Junyu Dong:
Hyperspectral Image Denoising Based on Multi-Stream Denoising Network. IGARSS 2021: 2158-2161 - [c19]Wenxia Liu, Feng Gao, Junyu Dong:
Disentangled Non-Local Network for Hyperspectral and LiDAR Data Classification. IGARSS 2021: 2397-2400 - [c18]Min Feng, Feng Gao, Jian Fang, Junyu Dong:
Hyperspectral and Lidar Data Classification Based on Linear Self-Attention. IGARSS 2021: 2401-2404 - [i6]Tiange Zhang, Feng Gao, Junyu Dong, Qian Du:
Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator. CoRR abs/2103.15502 (2021) - [i5]Junjie Wang, Feng Gao, Junyu Dong:
Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks. CoRR abs/2104.02299 (2021) - [i4]Min Feng, Feng Gao, Jian Fang, Junyu Dong:
Hyperspectral and LiDAR data classification based on linear self-attention. CoRR abs/2104.02301 (2021) - [i3]Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network. CoRR abs/2104.06699 (2021) - [i2]Yanhai Gan, Xinghui Dong, Huiyu Zhou, Feng Gao, Junyu Dong:
Learning the Precise Feature for Cluster Assignment. CoRR abs/2106.06159 (2021) - [i1]Yuxin Meng, Eric Rigall, Xueen Chen, Feng Gao, Junyu Dong, Sheng Chen:
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction. CoRR abs/2111.03064 (2021) - 2020
- [j12]Yakun Ju, Lin Qi, Jichao He, Xinghui Dong, Feng Gao, Junyu Dong:
MPS-Net: Learning to recover surface normal for multispectral photometric stereo. Neurocomputing 375: 62-70 (2020) - [c17]Tiange Zhang, Ying Gao, Feng Gao, Lin Qi, Junyu Dong:
Arbitrary Style Transfer with Parallel Self-Attention. ICPR 2020: 1406-1413 - [c16]Junjie Wang, Feng Gao, Junyu Dong:
Change detection from SAR images based on deformable residual convolutional neural networks. MMAsia 2020: 67:1-67:7
2010 – 2019
- 2019
- [j11]Shengke Wang, Lu Liu, Liang Qu, Changyin Yu, Yujuan Sun, Feng Gao, Junyu Dong:
Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring. Neurocomputing 348: 158-168 (2019) - [j10]Feng Gao, Xiao Wang, Yunhao Gao, Junyu Dong, Shengke Wang:
Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks. IEEE Geosci. Remote. Sens. Lett. 16(8): 1240-1244 (2019) - [j9]Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang:
Transferred Deep Learning for Sea Ice Change Detection From Synthetic-Aperture Radar Images. IEEE Geosci. Remote. Sens. Lett. 16(10): 1655-1659 (2019) - [j8]Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang:
Change Detection From Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4517-4529 (2019) - [c15]Junjie Wang, Feng Gao, Junyu Dong, Shengke Wang:
Synthetic Aperture Radar Images Changes Detection based on Random Label Propagation. MultiTemp 2019: 1-4 - [c14]Dong Wang, Feng Gao, Junyu Dong, Shengke Wang:
Change Detection in Synthetic Aperture Radar Images based on Convolutional Block Attention Module. MultiTemp 2019: 1-4 - 2018
- [j7]Shengke Wang, Changyin Yu, Yujuan Sun, Feng Gao, Junyu Dong:
Specular reflection removal of ocean surface remote sensing images from UAVs. Multim. Tools Appl. 77(9): 11363-11379 (2018) - [j6]Feng Gao, Qun Wang, Junyu Dong, Qizhi Xu:
Spectral and Spatial Classification of Hyperspectral Images Based on Random Multi-Graphs. Remote. Sens. 10(8): 1271 (2018) - [c13]Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang:
Sea Ice Change Detection in SAR Images Based on Collaborative Representation. IGARSS 2018: 7320-7323 - [c12]Dong Wang, Feng Gao, Junyu Dong, Yang Yang, Shengke Wang:
Sea Ice Classification from Hyperspectral Images Based on Self-Paced Boost Learning. IGARSS 2018: 7324-7327 - [c11]Xiao Wang, Feng Gao, Junyu Dong, Shengke Wang:
Sea Ice Change Detection from SAR Images Based on Canonical Correlation Analysis and Contractive Autoencoders. PCM (2) 2018: 748-757 - 2017
- [j5]Xin Sun, Fei Zhou, Junyu Dong, Feng Gao, Quanquan Mu, Xinhua Wang:
Encoding Spectral and Spatial Context Information for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(12): 2250-2254 (2017) - [j4]Feng Gao, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, Muwei Jian:
Change Detection in SAR Images Based on Deep Semi-NMF and SVD Networks. Remote. Sens. 9(5): 435 (2017) - [c10]Yongqiang Kong, Zhaoqiang Wei, Zhengang Wei, Shengke Wang, Feng Gao:
Exploiting Sub-region Deep Features for Specific Action Recognition in Combat Sports Video. PCM (2) 2017: 192-201 - [c9]Liang Qu, Shengke Wang, Na Yang, Long Chen, Lu Liu, Xiaoyan Zhang, Feng Gao, Junyu Dong:
Improving object detection accuracy with region and regression based deep CNNs. SPAC 2017: 318-323 - [c8]Guoan Cheng, Shengke Wang, Teng Guo, Xiao Han, Guiyan Cai, Feng Gao, Junyu Dong:
Abnormal behavior detection for harbour operator safety under complex video surveillance scenes. SPAC 2017: 324-328 - [c7]Shengke Wang, Lu Liu, Lianghua Duan, Changyin Yu, Guiyan Cai, Feng Gao, Junyu Dong:
Accurate segmentation of Ulva prolifera regions with superpixel and CNNs. SPAC 2017: 433-438 - 2016
- [j3]Feng Gao, Junyu Dong, Bo Li, Qizhi Xu:
Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet. IEEE Geosci. Remote. Sens. Lett. 13(12): 1792-1796 (2016) - 2015
- [c6]Xinzhi Li, Qizhi Xu, Feng Gao, Lei Hu:
Pansharpening based on an improved ratio enhancement. IGARSS 2015: 1100-1103 - [c5]Feng Yang, Qizhi Xu, Feng Gao, Lei Hu:
Ship detection from optical satellite images based on visual search mechanism. IGARSS 2015: 3679-3682 - 2014
- [j2]Guang Yang, Bo Li, Shufan Ji, Feng Gao, Qizhi Xu:
Ship Detection From Optical Satellite Images Based on Sea Surface Analysis. IEEE Geosci. Remote. Sens. Lett. 11(3): 641-645 (2014) - [j1]Feng Gao, Bo Li, Qizhi Xu, Chen Zhong:
Moving Vehicle Information Extraction from Single-Pass WorldView-2 Imagery Based on ERGAS-SNS Analysis. Remote. Sens. 6(7): 6500-6523 (2014) - 2011
- [c4]Guang Yang, Qichao Lu, Feng Gao:
A Novel Ship Detection Method Based on Sea State Analysis from Optical Imagery. ICIG 2011: 466-471 - [c3]Feng Gao, Lei Hu, Zhaofeng He:
Bridge extraction based on on constrained Delaunay triangulation for panchromatic image. IGARSS 2011: 1429-1432 - [c2]Lei Hu, Jin Zheng, Feng Gao:
A building extraction method using shadow in high resolution multispectral images. IGARSS 2011: 1862-1865 - 2010
- [c1]Lei Hu, Yan Ji, Yang Li, Feng Gao:
SAR Image Segmentation Based on Kullback-Leibler Distance of Edgeworth. PCM (1) 2010: 549-557
Coauthor Index
[j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [c27] [c26] [i17] [i16] [i15] [i14] [i13] [i12] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j17] [j16] [c24] [c23] [c22] [i11] [i10] [i9] [i8] [i7] [j15] [j14] [j13] [c20] [c19] [c18] [i6] [i5] [i4] [i3] [i2] [i1] [j12] [c17] [c16] [j11] [j10] [j9] [j8] [c15] [c14] [j7] [j6] [c13] [c12] [c11] [j5] [j4] [c9] [c8] [c7] [j3]
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