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Modification of the random forest algorithm to avoid statistical dependence problems when classifying remote sensing imagery.

Fulgencio Cánovas-GarcíaFrancisco Alonso-SarríaFrancisco Gomariz-CastilloFernando Oñate-Valdivieso
Published in: Comput. Geosci. (2017)
Keyphrases
  • random forest
  • learning algorithm
  • statistical dependence
  • computational complexity
  • high resolution
  • expectation maximization
  • infrared
  • unsupervised learning