| Contrastive multi-view subspace clustering of hyperspectral images based on graph convolutional networks R Guan, Z Li, W Tu, J Wang, Y Liu, X Li, C Tang, R Feng IEEE Transactions on Geoscience and Remote Sensing, 2024 | 59 | 2024 |
| Classification of heterogeneous mining areas based on rescapsnet and gaofen-5 imagery R Guan, Z Li, T Li, X Li, J Yang, W Chen Remote Sensing 14 (13), 3216, 2022 | 41 | 2022 |
| Pixel-superpixel contrastive learning and pseudo-label correction for hyperspectral image clustering R Guan, Z Li, X Li, C Tang ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 33 | 2024 |
| Adaptive multi-feature fusion graph convolutional network for hyperspectral image classification J Liu, R Guan, Z Li, J Zhang, Y Hu, X Wang Remote Sensing 15 (23), 5483, 2023 | 23 | 2023 |
| Spatial-spectral graph contrastive clustering with hard sample mining for hyperspectral images R Guan, W Tu, Z Li, H Yu, D Hu, Y Chen, C Tang, Q Yuan, X Liu IEEE Transactions on Geoscience and Remote Sensing, 2024 | 7 | 2024 |
| S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images R Guan, Z Li, C Song, G Yu, X Li, R Feng arXiv preprint arXiv:2404.00964, 2024 | 5 | 2024 |
| Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering J Wang, R Guan, K Gao, Z Li, H Li, X Li, C Tang arXiv preprint arXiv:2404.05211, 2024 | 4 | 2024 |
| Multiview Subspace Clustering of Hyperspectral Images Based on Graph Convolutional Networks X Li, R Guan, Z Li, H Liu, J Yang Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2023 | | 2023 |
Renxiang GuanNational University of Defense TechnologyVerified email at nudt.edu.cn