| Hyperspectral band selection: A review W Sun, Q Du IEEE Geoscience and Remote Sensing Magazine 7 (2), 118-139, 2019 | 229 | 2019 |
| 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 | 159 | 2015 |
| 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 | 138 | 2014 |
| 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 | 132 | 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 | 127 | 2021 |
| 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 | 125 | 2018 |
| 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 | 92 | 2018 |
| 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 | 91 | 2017 |
| 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 | 83 | 2013 |
| UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification W Sun, A Halevy, JJ Benedetto, W Czaja, C Liu, H Wu, B Shi, W Li ISPRS Journal of Photogrammetry and Remote Sensing 89, 25-36, 2014 | 80 | 2014 |
| A dissimilarity-weighted sparse self-representation method for band selection in hyperspectral imagery classification W Sun, L Zhang, L Zhang, YM Lai IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 75 | 2016 |
| 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 | 72 | 2019 |
| Spatial–spectral squeeze-and-excitation residual network for hyperspectral image classification L Wang, J Peng, W Sun Remote Sensing 11 (7), 884, 2019 | 71 | 2019 |
| 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 | 67 | 2020 |
| 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 | 66 | 2020 |
| 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 | 63 | 2021 |
| Discriminative transfer joint matching for domain adaptation in hyperspectral image classification J Peng, W Sun, L Ma, Q Du IEEE Geoscience and Remote Sensing Letters 16 (6), 972-976, 2019 | 60 | 2019 |
| Fast and robust self-representation method for hyperspectral band selection W Sun, L Tian, Y Xu, D Zhang, Q Du IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 57 | 2017 |
| Pansharpening for cloud-contaminated very high-resolution remote sensing images X Meng, H Shen, Q Yuan, H Li, L Zhang, W Sun IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2840-2854, 2018 | 50 | 2018 |
| Nonlinear dimensionality reduction via the ENH-LTSA method for hyperspectral image classification W Sun, A Halevy, JJ Benedetto, W Czaja, W Li, C Liu, B Shi, R Wang Selected Topics in Applied Earth Observations and Remote Sensing, IEEE …, 2014 | 50 | 2014 |
Qian (Jenny) DuMississippi State University在 ece.msstate.edu 的电子邮件经过验证
Qian (Jenny) DuMississippi State University在 ece.msstate.edu 的电子邮件经过验证
jiangtao pengProfessor, Hubei University在 hubu.edu.cn 的电子邮件经过验证