articleRemote Sensing of EnvironmentApr 15, 2008Closed access

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

Vrije Universiteit Brussel · Research Institute for Nature and Forest

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Abstract

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Citation impact

850
total citations
FWCI
29.84
Percentile
100%
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50
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Authors

2

Topics & keywords

Keywords
  • Random forest
  • Hyperspectral imaging
  • Artificial intelligence
  • Feature selection
  • Pattern recognition (psychology)
  • Computer science
  • AdaBoost
  • Remote sensing
UN Sustainable Development Goals
  • Life in Land
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