| Deep learning in environmental remote sensing: Achievements and challenges Q Yuan, H Shen, T Li, Z Li, S Li, Y Jiang, H Xu, W Tan, Q Yang, J Wang, ... Remote sensing of Environment 241, 111716, 2020 | 1238 | 2020 |
| Cloud removal with fusion of high resolution optical and SAR images using generative adversarial networks J Gao, Q Yuan, J Li, H Zhang, X Su Remote Sensing 12 (1), 191, 2020 | 139 | 2020 |
| Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression J Gao, Q Yuan, J Li, X Su International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 21 | 2021 |
| Hyperspectral and multispectral image fusion by deep neural network in a self-supervised manner J Gao, J Li, M Jiang Remote Sensing 13 (16), 3226, 2021 | 16 | 2021 |
| Sentinel-2 cloud removal considering ground changes by fusing multitemporal SAR and optical images J Gao, Y Yi, T Wei, G Zhang Remote Sensing 13 (19), 3998, 2021 | 15 | 2021 |
| Towards real-world shadow removal with a shadow simulation method and a two-stage framework J Gao, Q Zheng, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
| Deep image interpolation: A unified unsupervised framework for pansharpening J Gao, J Li, X Su, M Jiang, Q Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Cloud removal with fusion of SAR and Optical Images by Deep Learning J Gao, H Zhang, Q Yuan 2019 10th International Workshop on the Analysis of Multitemporal Remote …, 2019 | 5 | 2019 |
| Self-supervised Hyperspectral and Multispectral Image Fusion in Deep Neural Network J Gao, J Li, Q Yuan, J He, X Su Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China …, 2021 | | 2021 |
