Spectral Variability Augmented Two-Stream Network for Hyperspectral Sparse Unmixing

This set of files contains the code for SVATN published in the paper: "Spectral Variability Augmented Two-Stream Network for Hyperspectral Sparse Unmixing"

The implementation of SVATN model is based on the SUnCNN (`SUnCNN: Sparse Unmixing Using Unsupervised Convolutional Neural Network').

Citation

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Please kindly cite the paper if this code is useful and helpful for your research.

@ARTICLE{Zhang2022SVATN,
  author={Zhang, Ge and Mei, Shaohui and Xie, Bobo and Feng, Yan and Du, Qian},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Spectral Variability Augmented Two-Stream Network for Hyperspectral Sparse Unmixing}, 
  year={2022},
  volume={19},
  number={},
  pages={1-5},
  doi={10.1109/LGRS.2022.3214843}}