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Pytorch code of TGRS paper "HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection"

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HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection

Pytorch implementation of TGRS paper "HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection" image

Paper

HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection

Please cite our paper if you find it useful for your research.

@ARTICLE{9934933, author={Hu, Meiqi and Wu, Chen and Zhang, Liangpei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={HyperNet: Self-Supervised Hyperspectral Spatial–Spectral Feature Understanding Network for Hyperspectral Change Detection}, year={2022}, volume={60}, number={}, pages={1-17}, doi={10.1109/TGRS.2022.3218795}}

Installation

Install Pytorch 1.10.2 with Python 3.6

Dataset

Download the dataset of Viareggio 2013 and Simulated Hymap for HACD task, and USA, Bay, and Barbara dataset for HBCD task,passcode提取密码:r9yt 链接:https://pan.baidu.com/s/1RZWQC6kr4831M-yz9QWCHA 提取码:r9yt

Viareggio_data.mat

num_idx_ex1.mat, num_idx_ex2.mat

Bay.mat

num_idx_Bay.mat

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Pytorch code of TGRS paper "HyperNet: Self-Supervised Hyperspectral SpatialSpectral Feature Understanding Network for Hyperspectral Change Detection"

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