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

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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"

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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}}

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

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