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The unmixing library: Interactive tools for spectral mixture analysis of multispectral raster data in Python

K. Arthur Endsley

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3585979", 
  "title": "The unmixing library: Interactive tools for spectral mixture analysis of multispectral raster data in Python", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        8
      ]
    ]
  }, 
  "abstract": "<p>This is a library of interactive tools and functions for performing linear spectral mixture analysis (LSMA) and spatially adaptive spectral mixture analysis (SASMA). It supports parallel fully constrained least-squares (FCLS) mixture analysis over multiple processes, allowing for very efficient mapping of endmember abundances, both in the spatially adaptive approach and in regular LSMA.</p>", 
  "author": [
    {
      "family": "K. Arthur Endsley"
    }
  ], 
  "version": "0.2.4.dev", 
  "type": "article", 
  "id": "3585979"
}
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Publication date:
August 8, 2019
DOI:
10.5281/zenodo.3585979

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Keyword(s):
earth observation remote sensing spectral analysis
License (for files):
MIT License

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Version 0.2.4.dev 10.5281/zenodo.3585979 Aug 8, 2019
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