| AID: A benchmark data set for performance evaluation of aerial scene classification GS Xia, J Hu, F Hu, B Shi, X Bai, Y Zhong, L Zhang, X Lu IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3965-3981, 2017 | 2077 | 2017 |
| LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation J Wang, Z Zheng, A Ma, X Lu, Y Zhong arXiv preprint arXiv:2110.08733, 2021 | 405 | 2021 |
| Pre-trained alexnet architecture with pyramid pooling and supervision for high spatial resolution remote sensing image scene classification X Han, Y Zhong, L Cao, L Zhang Remote Sensing 9 (8), 848, 2017 | 398 | 2017 |
| WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network … Y Zhong, X Hu, C Luo, X Wang, J Zhao, L Zhang Remote Sensing of Environment 250, 112012, 2020 | 394 | 2020 |
| Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery Q Zhu, Y Zhong, B Zhao, GS Xia, L Zhang IEEE Geoscience and Remote Sensing Letters 13 (6), 747-751, 2016 | 383 | 2016 |
| Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery B Zhao, Y Zhong, GS Xia, L Zhang IEEE Transactions on Geoscience and Remote Sensing, 2015 | 322 | 2015 |
| Foreground-aware relation network for geospatial object segmentation in high spatial resolution remote sensing imagery Z Zheng, Y Zhong, J Wang, A Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 315 | 2020 |
| Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters Z Zheng, Y Zhong, J Wang, A Ma, L Zhang Remote Sensing of Environment 265, 112636, 2021 | 300 | 2021 |
| Mini-UAV-borne hyperspectral remote sensing: From observation and processing to applications Y Zhong, X Wang, Y Xu, S Wang, T Jia, X Hu, J Zhao, L Wei, L Zhang IEEE Geoscience and Remote Sensing Magazine 6 (4), 46-62, 2018 | 278 | 2018 |
| Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery Y Zhong, Q Zhu, L Zhang IEEE Transactions on Geoscience and Remote Sensing 53 (11), 6207-6222, 2015 | 256 | 2015 |
| An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery Y Zhong, L Zhang IEEE Transactions on Geoscience and Remote Sensing 50 (3), 894-909, 2012 | 235 | 2012 |
| Spatial group sparsity regularized nonnegative matrix factorization for hyperspectral unmixing X Wang, Y Zhong, L Zhang, Y Xu IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6287-6304, 2017 | 225 | 2017 |
| An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery Y Zhong, L Zhang, B Huang, P Li IEEE Transactions on Geoscience and Remote Sensing 44 (2), 420-431, 2006 | 223 | 2006 |
| Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery Q Zhu, X Guo, W Deng, S Shi, Q Guan, Y Zhong, L Zhang, D Li ISPRS Journal of Photogrammetry and Remote Sensing 184, 63-78, 2022 | 219 | 2022 |
| Dimensionality reduction based on clonal selection for hyperspectral imagery L Zhang, Y Zhong, B Huang, J Gong, P Li IEEE Transactions on Geoscience and Remote Sensing 45 (12), 4172-4186, 2007 | 212 | 2007 |
| A global context-aware and batch-independent network for road extraction from VHR satellite imagery Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu, L Zhang, D Li ISPRS Journal of Photogrammetry and Remote Sensing 175, 353-365, 2021 | 210 | 2021 |
| A new sub-pixel mapping algorithm based on a BP neural network with an observation model L Zhang, K Wu, Y Zhong, P Li Neurocomputing 71 (10-12), 2046-2054, 2008 | 205 | 2008 |
| Computational intelligence in optical remote sensing image processing Y Zhong, A Ma, Y soon Ong, Z Zhu, L Zhang Applied Soft Computing 64 (3), 75-93, 2018 | 202 | 2018 |
| FPGA: Fast patch-free global learning framework for fully end-to-end hyperspectral image classification Z Zheng, Y Zhong, A Ma, L Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5612-5626, 2020 | 200 | 2020 |
| Auto-AD: Autonomous hyperspectral anomaly detection network based on fully convolutional autoencoder S Wang, X Wang, L Zhang, Y Zhong IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 198 | 2021 |
Ke TangProfessor, Southern University of Science and TechnologyВерификована је имејл адреса на sustech.edu.cn