Grid-Transformer for Few-Shot Hyperspectral Image Classification
Author:
Affiliation:
1. Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10221937/10221892/10222023.pdf?arnumber=10222023
Reference27 articles.
1. Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
2. Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification
3. A Fast and Compact 3-D CNN for Hyperspectral Image Classification
4. Multi-scale 3D deep convolutional neural network for hyperspectral image classification
5. GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Distribution-Aware and Class-Adaptive Aggregation for Few-Shot Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024
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