meishaohui/spectral-variability-augmented-sparse-unmixing

Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images & Spatial Purity based Endmember Extraction for Spectral Mixture Analysis

Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images

This set of files contains the Matlab code for SVASU algorithm and SPEE algorithm describe in the papers: "Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images" and "Spatial Purity based Endmember Extraction for Spectral Mixture Analysis"

Citation

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

@ARTICLE{zhang2022{Spectral,
  author={Zhang, Ge and Mei, Shaohui and Xie, Bobo and Ma, Mingyang and Zhang, Yifan and Feng, Yan and Du, Qian},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images}, 
  year={2022},
  volume={60},
  number={},
  pages={1-13},
  doi={10.1109/TGRS.2022.3169228}}

@ARTICLE{mei2010Spatial,
  author={Mei, Shaohui and He, Mingyi and Wang, Zhiyong and Feng, Dagan},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Spatial Purity Based Endmember Extraction for Spectral Mixture Analysis}, 
  year={2010},
  volume={48},
  number={9},
  pages={3434-3445},
  doi={10.1109/TGRS.2010.2046671}}