| Deep learning for remote sensing data: A technical tutorial on the state of the art L Zhang, L Zhang, B Du IEEE Geoscience and remote sensing magazine 4 (2), 22-40, 2016 | 1645 | 2016 |
| Saliency-guided unsupervised feature learning for scene classification F Zhang, B Du, L Zhang IEEE transactions on Geoscience and Remote Sensing 53 (4), 2175-2184, 2014 | 517 | 2014 |
| Scene classification via a gradient boosting random convolutional network framework F Zhang, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1793-1802, 2015 | 410 | 2015 |
| Stacked convolutional denoising auto-encoders for feature representation B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao IEEE transactions on cybernetics 47 (4), 1017-1027, 2016 | 380 | 2016 |
| A low-rank and sparse matrix decomposition-based Mahalanobis distance method for hyperspectral anomaly detection Y Zhang, B Du, L Zhang, S Wang IEEE Transactions on Geoscience and Remote Sensing 54 (3), 1376-1389, 2015 | 307 | 2015 |
| Random-selection-based anomaly detector for hyperspectral imagery B Du, L Zhang IEEE Transactions on Geoscience and Remote sensing 49 (5), 1578-1589, 2010 | 298 | 2010 |
| Unsupervised domain adaptive re-identification: Theory and practice L Song, C Wang, L Zhang, B Du, Q Zhang, C Huang, X Wang Pattern Recognition 102, 107173, 2020 | 291 | 2020 |
| Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding L Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du Pattern Recognition 48 (10), 3102-3112, 2015 | 285 | 2015 |
| A discriminative metric learning based anomaly detection method B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (11), 6844-6857, 2014 | 269 | 2014 |
| Feature learning using spatial-spectral hypergraph discriminant analysis for hyperspectral image F Luo, B Du, L Zhang, L Zhang, D Tao IEEE transactions on cybernetics 49 (7), 2406-2419, 2018 | 261 | 2018 |
| Weakly supervised learning based on coupled convolutional neural networks for aircraft detection F Zhang, B Du, L Zhang, M Xu IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5553-5563, 2016 | 246 | 2016 |
| Simultaneous spectral-spatial feature selection and extraction for hyperspectral images L Zhang, Q Zhang, B Du, X Huang, YY Tang, D Tao IEEE Transactions on Cybernetics 48 (1), 16-28, 2016 | 231 | 2016 |
| Slow feature analysis for change detection in multispectral imagery C Wu, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 52 (5), 2858-2874, 2013 | 221 | 2013 |
| Spectral–spatial unified networks for hyperspectral image classification Y Xu, L Zhang, B Du, F Zhang IEEE Transactions on Geoscience and Remote Sensing 56 (10), 5893-5909, 2018 | 218 | 2018 |
| Recurrent feature reasoning for image inpainting J Li, N Wang, L Zhang, B Du, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 214 | 2020 |
| Multiscale dynamic graph convolutional network for hyperspectral image classification S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019 | 208 | 2019 |
| Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China T Chen, R Niu, P Li, L Zhang, B Du Environmental Earth Sciences 63, 533-541, 2011 | 195 | 2011 |
| Hyperspectral image unsupervised classification by robust manifold matrix factorization L Zhang, L Zhang, B Du, J You, D Tao Information Sciences 485, 154-169, 2019 | 194 | 2019 |
| Hyperspectral remote sensing image subpixel target detection based on supervised metric learning L Zhang, L Zhang, D Tao, X Huang, B Du IEEE transactions on geoscience and remote sensing 52 (8), 4955-4965, 2013 | 186 | 2013 |
| Deeply-supervised CNN for prostate segmentation Q Zhu, B Du, B Turkbey, PL Choyke, P Yan 2017 international joint conference on neural networks (IJCNN), 178-184, 2017 | 184 | 2017 |
zhang liangpeiProfessor, Wuhan UniversityVerified email at whu.edu.cn
