| Hyperspectral band selection: A review W Sun, Q Du IEEE Geoscience and Remote Sensing Magazine 7 (2), 118-139, 2019 | 400 | 2019 |
| Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland Q Jiang, W Li, Z Fan, X He, W Sun, S Chen, J Wen, J Gao, J Wang Journal of hydrology 595, 125660, 2021 | 304 | 2021 |
| Band selection using improved sparse subspace clustering for hyperspectral imagery classification W Sun, L Zhang, B Du, W Li, YM Lai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 194 | 2015 |
| Acne: Attentive context normalization for robust permutation-equivariant learning W Sun, W Jiang, E Trulls, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 185 | 2020 |
| Low-rank and sparse matrix decomposition-based anomaly detection for hyperspectral imagery W Sun, C Liu, J Li, YM Lai, W Li Journal of Applied Remote Sensing 8 (1), 083641-083641, 2014 | 182 | 2014 |
| Low-rank and sparse representation for hyperspectral image processing: A review J Peng, W Sun, HC Li, W Li, X Meng, C Ge, Q Du IEEE Geoscience and Remote Sensing Magazine 10 (1), 10-43, 2021 | 180 | 2021 |
| R-CNN-based ship detection from high resolution remote sensing imagery S Zhang, R Wu, K Xu, J Wang, W Sun Remote Sensing 11 (6), 631, 2019 | 180 | 2019 |
| Graph-regularized fast and robust principal component analysis for hyperspectral band selection W Sun, Q Du IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3185-3195, 2018 | 158 | 2018 |
| Hyperspectral and multispectral classification for coastal wetland using depthwise feature interaction network Y Gao, W Li, M Zhang, J Wang, W Sun, R Tao, Q Du IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2021 | 139 | 2021 |
| Self-paced joint sparse representation for the classification of hyperspectral images J Peng, W Sun, Q Du IEEE Transactions on Geoscience and Remote Sensing 57 (2), 1183-1194, 2018 | 131 | 2018 |
| The advanced hyperspectral imager: Aboard China's GaoFen-5 satellite YN Liu, DX Sun, XN Hu, X Ye, YD Li, SF Liu, KQ Cao, MY Chai, J Zhang, ... IEEE Geoscience and Remote Sensing Magazine 7 (4), 23-32, 2019 | 129 | 2019 |
| A large-scale benchmark data set for evaluating pansharpening performance: Overview and implementation X Meng, Y Xiong, F Shao, H Shen, W Sun, G Yang, Q Yuan, R Fu, ... IEEE Geoscience and Remote Sensing Magazine 9 (1), 18-52, 2020 | 128 | 2020 |
| Land cover change detection with heterogeneous remote sensing images: Review, progress, and perspective ZY Lv, HT Huang, X Li, MH Zhao, JA Benediktsson, WW Sun, N Falco Proceedings of the IEEE 110 (12), 1976-1991, 2022 | 120 | 2022 |
| A semisupervised Siamese network for hyperspectral image classification S Jia, S Jiang, Z Lin, M Xu, W Sun, Q Huang, J Zhu, X Jia IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 118 | 2021 |
| Spatial–spectral attention network guided with change magnitude image for land cover change detection using remote sensing images Z Lv, F Wang, G Cui, JA Benediktsson, T Lei, W Sun IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 116 | 2022 |
| Spatial–spectral squeeze-and-excitation residual network for hyperspectral image classification L Wang, J Peng, W Sun Remote Sensing 11 (7), 884, 2019 | 106 | 2019 |
| A sparse and low-rank near-isometric linear embedding method for feature extraction in hyperspectral imagery classification W Sun, G Yang, B Du, L Zhang, L Zhang IEEE Transactions on Geoscience and Remote Sensing 55 (7), 4032-4046, 2017 | 106 | 2017 |
| Two-branch attention adversarial domain adaptation network for hyperspectral image classification Y Huang, J Peng, W Sun, N Chen, Q Du, Y Ning, H Su IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 104 | 2022 |
| Fast and latent low-rank subspace clustering for hyperspectral band selection W Sun, J Peng, G Yang, Q Du IEEE Transactions on Geoscience and Remote Sensing 58 (6), 3906-3915, 2020 | 102 | 2020 |
| Susceptibility evaluation and mapping of China’s landslides based on multi-source data C Liu, W Li, H Wu, P Lu, K Sang, W Sun, W Chen, Y Hong, R Li Natural Hazards 69, 1477-1495, 2013 | 101 | 2013 |
