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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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  <dc:creator>Robert Sare</dc:creator>
  <dc:creator>George E. Hilley</dc:creator>
  <dc:date>2019-10-26</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/3519582</dc:identifier>
  <dc:identifier>10.5281/zenodo.3519582</dc:identifier>
  <dc:identifier>oai:zenodo.org:3519582</dc:identifier>
  <dc:relation>url:https://github.com/rmsare/pymccrgb/tree/v0.1.6</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3514375</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:title>pymccrgb: Color- and curvature-based classification of multispectral point clouds in Python</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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