| 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 | 1904 | 2016 |
| On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification L Zhang, L Zhang, D Tao, X Huang IEEE Transactions on Geoscience and Remote Sensing 50 (3), 879-893, 2012 | 445 | 2012 |
| 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, 2017 | 413 | 2017 |
| 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 | 350 | 2020 |
| 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 | 333 | 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 | 305 | 2019 |
| Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction L Zhang, L Zhang, D Tao, X Huang IEEE Transactions on Geoscience and Remote Sensing 51 (1), 242-256, 2013 | 293 | 2013 |
| 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 | 292 | 2015 |
| 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 | 288 | 2018 |
| 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, 2018 | 250 | 2018 |
| 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 | 216 | 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, 2014 | 208 | 2014 |
| Dimensionality reduction with enhanced hybrid-graph discriminant learning for hyperspectral image classification F Luo, L Zhang, B Du, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5336-5353, 2020 | 204 | 2020 |
| Exploring Representativeness and Informativeness for Active Learning B Du, Z Wang, L Zhang, L Zhang, W Liu, J Shen, D Tao IEEE transactions on cybernetics 47 (1), 14-26, 2017 | 188 | 2017 |
| Sparse Transfer Manifold Embedding for Hyperspectral Target Detection L Zhang, L Zhang, D Tao, X Huang IEEE Transactions on Geoscience and Remote Sensing 52 (3), 1030-1043, 2014 | 185 | 2014 |
| Progressive reconstruction of visual structure for image inpainting J Li, F He, L Zhang, B Du, D Tao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 161 | 2019 |
| Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery X Guo, X Huang, L Zhang, L Zhang, A Plaza, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3248-3264, 2016 | 158 | 2016 |
| PLTD: Patch-based Low-rank Tensor Decomposition for Hyperspectral Images B Du, M Zhang, L Zhang, R Hu, D Tao IEEE Transactions on Multimedia 19 (1), 67-79, 2017 | 153 | 2017 |
| Fast spatio-temporal residual network for video super-resolution S Li, F He, B Du, L Zhang, Y Xu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 145 | 2019 |
| Compression of Hyperspectal Remote Sensing Images by Tensor Approach L Zhang, L Zhang, D Tao, X Huang, B Du Neurocomputing 147, 358-363, 2015 | 139 | 2015 |
Dacheng TaoThe University of SydneyBestätigte E-Mail-Adresse bei sydney.edu.au
