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Author (up) Waske, B.; van der Linden, S.; Oldenburg, C.; Jakimow, B.; Rabe, A.; Hostert, P. url  doi
  Title imageRF – A user-oriented implementation for remote sensing image analysis with Random Forests Type Journal Article
  Year 2012 Publication Environmental Modelling & Software Abbreviated Journal  
  Volume 35 Issue Pages 2  
  Keywords Random forests; Rf; Remote sensing; Classification; Regression; Land cover; Image analysis  
  Abstract An IDL implementation for the classification and regression analysis of remote sensing images with Random Forests is introduced. The tool, called imageRF, is platform and license independent and uses generic image file formats. It works well with default parameterization, yet all relevant parameters can be defined in intuitive GUIs. This makes it a user-friendly image processing tool, which is implemented as an add-on in the free EnMAP-Box and may be used in the commercial IDL/ENVI software.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1364-8152 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number geomatics @ Waske2012 Serial 181  
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