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Shuguo Jiang
Shuguo Jiang
在 whu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
3142021
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
1182021
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
742022
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
262023
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
232023
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
172023
A Center-masked Transformer for Hyperspectral Image Classification
S Jia, Y Wang, S Jiang, R He
IEEE Transactions on Geoscience and Remote Sensing, 2024
112024
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
62023
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
52021
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification.
Y Wang, S Jiang, M Xu, S Zhang, S Jia
CDCEO@ IJCAI, 1-6, 2022
12022
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
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