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% SPFormer: Self-Pooling Transformer for Few-Shot Hyperspectral Image Classification.
% Version: 1.0
% Date : Dec. 2023
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% This demo implements the SPFormer model for hyperspectral image classification.
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% Note: Required
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% 1. python==3.6
% 2. torch==1.10.2
% 3. cuda==11.1.1
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% Cite:
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% [1] Z. Li, Z. Xue, Q. Xu, L. Zhang, T. Zhu and M. Zhang, "SPFormer: Self-Pooling Transformer for Few-Shot Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-19, 2024, Art no. 5502019.
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% Copyright & Disclaimer
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% The programs contained in this package are granted free of charge for
% research and education purposes only.
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% Copyright (c) 2022 by Zhaohui Xue
% zhaohui.xue@hhu.edu.cn
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% For full package:
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% https://sites.google.com/site/zhaohuixuers/