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pymccrgb: Color- and curvature-based classification of multispectral point clouds in Python

Robert Sare; George E. Hilley


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{
  "description": "<p>pymccrgb is a Python package for classifying ground and vegetation points in point cloud data with color attributes. It implements a new color-based algorithm (MCC-RGB) and provides a Cython wrapper for a popular height-based lidar classification algorithm (MCC), currently the only Python interfaces for these methods. We intend it to be broadly useful to earth and planetary scientists analyzing lidar or photogrammetric data.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Department of Geological Sciences, Stanford University", 
      "@id": "https://orcid.org/0000-0003-3711-6771", 
      "@type": "Person", 
      "name": "Robert Sare"
    }, 
    {
      "affiliation": "Department of Geological Sciences, Stanford University", 
      "@id": "https://orcid.org/0000-0002-1761-7547", 
      "@type": "Person", 
      "name": "George E. Hilley"
    }
  ], 
  "url": "https://zenodo.org/record/3519582", 
  "codeRepository": "https://github.com/rmsare/pymccrgb/tree/v0.1.6", 
  "datePublished": "2019-10-26", 
  "version": "v0.1.6", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3519582", 
  "@id": "https://doi.org/10.5281/zenodo.3519582", 
  "@type": "SoftwareSourceCode", 
  "name": "pymccrgb: Color- and curvature-based classification of multispectral point clouds in Python"
}
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