| Automatic change detection in synthetic aperture radar images based on PCANet F Gao, J Dong, B Li, Q Xu IEEE Geoscience and Remote Sensing Letters 13 (12), 1792-1796, 2016 | 260 | 2016 |
| Ship detection from optical satellite images based on sea surface analysis G Yang, B Li, S Ji, F Gao, Q Xu IEEE Geoscience and Remote Sensing Letters 11 (3), 641-645, 2014 | 227 | 2014 |
| Sea ice change detection in SAR images based on convolutional-wavelet neural networks F Gao, X Wang, Y Gao, J Dong, S Wang IEEE Geoscience and Remote Sensing Letters 16 (8), 1240-1244, 2019 | 220 | 2019 |
| Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine F Gao, J Dong, B Li, Q Xu, C Xie Journal of Applied Remote Sensing 10 (4), 046019-046019, 2016 | 139 | 2016 |
| Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network X Qu, F Gao, J Dong, Q Du, HC Li IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 121 | 2022 |
| Adaptive dropblock-enhanced generative adversarial networks for hyperspectral image classification J Wang, F Gao, J Dong, Q Du IEEE Transactions on Geoscience and Remote Sensing 59 (6), 5040-5053, 2021 | 97 | 2021 |
| Nearest neighbor-based contrastive learning for hyperspectral and LiDAR data classification M Wang, F Gao, J Dong, HC Li, Q Du IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023 | 88 | 2023 |
| Transferred deep learning for sea ice change detection from synthetic-aperture radar images Y Gao, F Gao, J Dong, S Wang IEEE Geoscience and Remote Sensing Letters 16 (10), 1655-1659, 2019 | 83 | 2019 |
| SAR image change detection based on multiscale capsule network Y Gao, F Gao, J Dong, HC Li IEEE Geoscience and Remote Sensing Letters 18 (3), 484-488, 2021 | 82 | 2021 |
| Change detection from synthetic aperture radar images based on channel weighting-based deep cascade network Y Gao, F Gao, J Dong, S Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 81 | 2019 |
| SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification J Lin, F Gao, X Shi, J Dong, Q Du IEEE Transactions on Geoscience and Remote Sensing, 2023 | 71 | 2023 |
| Spectral and spatial classification of hyperspectral images based on random multi-graphs F Gao, Q Wang, J Dong, Q Xu Remote Sensing 10 (8), 1271, 2018 | 70 | 2018 |
| Change detection in SAR images based on deep semi-NMF and SVD networks F Gao, X Liu, J Dong, G Zhong, M Jian Remote Sensing 9 (5), 435, 2017 | 62 | 2017 |
| Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network J Wang, F Gao, J Dong, S Zhang, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 54 | 2022 |
| Accurate Ulva prolifera regions extraction of UAV images with superpixel and CNNs for ocean environment monitoring S Wang, L Liu, L Qu, C Yu, Y Sun, F Gao, J Dong Neurocomputing 348, 158-168, 2019 | 53 | 2019 |
| Hybrid convolutional and attention network for hyperspectral image denoising S Hu, F Gao, X Zhou, J Dong, Q Du IEEE Geoscience and Remote Sensing Letters, 2024 | 48 | 2024 |
| Physics-guided generative adversarial networks for sea subsurface temperature prediction Y Meng, E Rigall, X Chen, F Gao, J Dong, S Chen IEEE Transactions on Neural Networks and Learning Systems 34 (7), 3357-3370, 2023 | 48 | 2023 |
| SSCU-Net: Spatial–spectral collaborative unmixing network for hyperspectral images L Qi, F Gao, J Dong, X Gao, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 44 | 2022 |
| Synthetic aperture radar image change detection via siamese adaptive fusion network Y Gao, F Gao, J Dong, Q Du, HC Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 40 | 2021 |
| Encoding spectral and spatial context information for hyperspectral image classification X Sun, F Zhou, J Dong, F Gao, Q Mu, X Wang IEEE Geoscience and Remote Sensing Letters 14 (12), 2250-2254, 2017 | 38 | 2017 |
Junyu DongOcean University of ChinaVerified email at ouc.edu.cn
