| 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 | 218 | 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 | 206 | 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 | 146 | 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 | 114 | 2016 |
| 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 | 64 | 2018 |
| 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 | 63 | 2019 |
| 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 | 57 | 2022 |
| 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 | 56 | 2019 |
| 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 | 54 | 2017 |
| 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 | 53 | 2021 |
| 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 | 51 | 2021 |
| 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 | 43 | 2019 |
| Ship detection from optical satellite images based on visual search mechanism F Yang, Q Xu, F Gao, L Hu 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 33 | 2015 |
| 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 | 30 | 2017 |
| Vision-based vehicle detecting and counting for traffic flow analysis Z Zhang, K Liu, F Gao, X Li, G Wang 2016 International Joint Conference on Neural Networks (IJCNN), 2267-2273, 2016 | 28 | 2016 |
| 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 | 25 | 2022 |
| Learning conditional photometric stereo with high-resolution features Y Ju, Y Peng, M Jian, F Gao, J Dong Computational Visual Media 8, 105-118, 2022 | 23 | 2022 |
| Moving vehicle information extraction from single-pass WorldView-2 imagery based on ERGAS-SNS analysis F Gao, B Li, Q Xu, C Zhong Remote Sensing 6 (7), 6500-6523, 2014 | 22 | 2014 |
| 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, 2021 | 19 | 2021 |
| 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 | 18 | 2022 |
Junyu DongOcean University of ChinaVerified email at ouc.edu.cn
