| CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification C Shi, H Wu, L Wang Neural Networks 168, 105-122, 2023 | 18 | 2023 |
| A cross-channel dense connection and multi-scale dual aggregated attention network for hyperspectral image classification H Wu, C Shi, L Wang, Z Jin Remote Sensing 15 (9), 2367, 2023 | 15 | 2023 |
| A positive feedback spatial-spectral correlation network based on spectral slice for hyperspectral image classification C Shi, H Wu, L Wang IEEE Transactions on Geoscience and Remote Sensing 61, 1-17, 2023 | 11 | 2023 |
| A feature complementary attention network based on adaptive knowledge filtering for hyperspectral image classification C Shi, H Wu, L Wang IEEE Transactions on Geoscience and Remote Sensing 61, 1-19, 2023 | 10 | 2023 |
| A Multi-hop Graph Rectify Attention and Spectral Overlap Grouping Convolutional Fusion Network for Hyperspectral Image Classification C Shi, S Yue, H Wu, F Zhu, L Wang IEEE Transactions on Geoscience and Remote, 2024 | 6 | 2024 |
| FSVLM: A Vision-Language Model for Remote Sensing Farmland Segmentation H Wu, Z Du, D Zhong, Y Wang, C Tao IEEE Transactions on Geoscience and Remote Sensing, 2025 | | 2025 |
| GDPA_LDSICS: graph and double pyramid attention network based on linear discrimination of spectral interclass slices for hyperspectral image classification H Wu, C Shi, L Wang International Journal of Remote Sensing 44 (17), 5283-5312, 2023 | | 2023 |
| Hybrid CNN-GCN Network for Hyperspectral Image Classification D Liao, C Shi, H Wu, L Wang Available at SSRN 4481768, 0 | | |