| MugNet: Deep learning for hyperspectral image classification using limited samples B Pan, Z Shi, X Xu ISPRS Journal of Photogrammetry and Remote Sensing 145, 108-119, 2018 | 255 | 2018 |
| R-VCANet: A new deep-learning-based hyperspectral image classification method B Pan, Z Shi, X Xu IEEE Journal of selected topics in applied earth observations and remote …, 2017 | 188 | 2017 |
| Hierarchical guidance filtering-based ensemble classification for hyperspectral images B Pan, Z Shi, X Xu IEEE Transactions on Geoscience and Remote Sensing 55 (7), 4177-4189, 2017 | 112 | 2017 |
| A nowcasting model for the prediction of typhoon tracks based on a long short term memory neural network S Gao, P Zhao, B Pan, Y Li, M Zhou, J Xu, S Zhong, Z Shi Acta Oceanologica Sinica 37, 8-12, 2018 | 94 | 2018 |
| DSSNet: A simple dilated semantic segmentation network for hyperspectral imagery classification B Pan, X Xu, Z Shi, N Zhang, H Luo, X Lan IEEE Geoscience and Remote Sensing Letters 17 (11), 1968-1972, 2020 | 78 | 2020 |
| Domain adaptation based on correlation subspace dynamic distribution alignment for remote sensing image scene classification J Zhang, J Liu, B Pan, Z Shi IEEE Transactions on Geoscience and Remote Sensing 58 (11), 7920-7930, 2020 | 75 | 2020 |
| ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation X Xu, Z Shi, B Pan ISPRS journal of photogrammetry and remote sensing 141, 46-58, 2018 | 70 | 2018 |
| Hyperspectral image classification based on nonlinear spectral–spatial network B Pan, Z Shi, N Zhang, S Xie IEEE Geoscience and Remote Sensing Letters 13 (12), 1782-1786, 2016 | 64 | 2016 |
| CoinNet: Copy initialization network for multispectral imagery semantic segmentation B Pan, Z Shi, X Xu, T Shi, N Zhang, X Zhu IEEE Geoscience and Remote Sensing Letters 16 (5), 816-820, 2018 | 61 | 2018 |
| A novel spectral-unmixing-based green algae area estimation method for GOCI data B Pan, Z Shi, Z An, Z Jiang, Y Ma IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 38 | 2016 |
| A contextual bidirectional enhancement method for remote sensing image object detection J Zhang, C Xie, X Xu, Z Shi, B Pan IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 36 | 2020 |
| Tropical cyclone intensity prediction based on recurrent neural networks B Pan, X Xu, Z Shi Electronics Letters 55 (7), 413-415, 2019 | 35 | 2019 |
| CANet: Centerness-aware network for object detection in remote sensing images L Shi, L Kuang, X Xu, B Pan, Z Shi IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 34 | 2021 |
| A new unsupervised hyperspectral band selection method based on multiobjective optimization X Xu, Z Shi, B Pan IEEE Geoscience and Remote Sensing Letters 14 (11), 2112-2116, 2017 | 34 | 2017 |
| Simultaneously multiobjective sparse unmixing and library pruning for hyperspectral imagery X Xu, B Pan, Z Chen, Z Shi, T Li IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3383-3395, 2020 | 32 | 2020 |
| Simultaneous super-resolution and segmentation for remote sensing images S Lei, Z Shi, X Wu, B Pan, X Xu, H Hao IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 31 | 2019 |
| A classification-based model for multi-objective hyperspectral sparse unmixing X Xu, Z Shi, B Pan, X Li IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9612-9625, 2019 | 30 | 2019 |
| Analysis for the weakly Pareto optimum in multiobjective-based hyperspectral band selection B Pan, Z Shi, X Xu IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3729-3740, 2019 | 29 | 2019 |
| An end-to-end network for remote sensing imagery semantic segmentation via joint pixel-and representation-level domain adaptation L Shi, Z Wang, B Pan, Z Shi IEEE Geoscience and Remote Sensing Letters 18 (11), 1896-1900, 2020 | 28 | 2020 |
| DCL-Net: Augmenting the capability of classification and localization for remote sensing object detection E Liu, Y Zheng, B Pan, X Xu, Z Shi IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7933-7944, 2021 | 27 | 2021 |
