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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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{
  "description": "<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>", 
  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "affiliation": "University of Montana", 
      "@id": "https://orcid.org/0000-0001-9722-8092", 
      "@type": "Person", 
      "name": "K. Arthur Endsley"
    }
  ], 
  "url": "https://zenodo.org/record/3585979", 
  "datePublished": "2019-08-08", 
  "version": "0.2.4.dev", 
  "keywords": [
    "earth observation", 
    "remote sensing", 
    "spectral analysis"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3585979", 
  "@id": "https://doi.org/10.5281/zenodo.3585979", 
  "@type": "SoftwareSourceCode", 
  "name": "The unmixing library: Interactive tools for spectral mixture analysis of multispectral raster data in Python"
}
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