A survey: Deep learning for hyperspectral image classification with few labeled samples S Jia, S Jiang, Z Lin, N Li, M Xu, S Yu Neurocomputing 448, 179-204, 2021 | 314 | 2021 |
A semisupervised Siamese network for hyperspectral image classification S Jia, S Jiang, Z Lin, M Xu, W Sun, Q Huang, J Zhu, X Jia IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2021 | 118 | 2021 |
Graph-in-graph convolutional network for hyperspectral image classification S Jia, S Jiang, S Zhang, M Xu, X Jia IEEE Transactions on Neural Networks and Learning Systems 35 (1), 1157-1171, 2022 | 74 | 2022 |
Dual self-attention Swin transformer for hyperspectral image super-resolution Y Long, X Wang, M Xu, S Zhang, S Jiang, S Jia IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 26 | 2023 |
Collaborative contrastive learning for hyperspectral and LiDAR classification S Jia, X Zhou, S Jiang, R He IEEE Transactions on Geoscience and Remote Sensing 61, 1-14, 2023 | 23 | 2023 |
Iterative random training sampling convolutional neural network for hyperspectral image classification CI Chang, CC Liang, PF Hu IEEE Transactions on Geoscience and Remote Sensing 61, 1-26, 2023 | 17 | 2023 |
A Center-masked Transformer for Hyperspectral Image Classification S Jia, Y Wang, S Jiang, R He IEEE Transactions on Geoscience and Remote Sensing, 2024 | 11 | 2024 |
Texture-aware self-attention model for hyperspectral tree species classification N Li, S Jiang, J Xue, S Ye, S Jia IEEE Transactions on Geoscience and Remote Sensing, 2023 | 6 | 2023 |
A 3D lightweight Siamese network for hyperspectral image classification with limited samples S Jiang, S Jia Proceedings of the 2021 10th International Conference on Computing and …, 2021 | 5 | 2021 |
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification. Y Wang, S Jiang, M Xu, S Zhang, S Jia CDCEO@ IJCAI, 1-6, 2022 | 1 | 2022 |
SQformer: Spectral-Query transformer for hyperspectral image arbitrary-scale super-resolution S Jiang, N Li, M Xu, S Zhang, S Jia IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |