reviewISPRS Journal of Photogrammetry and Remote SensingFeb 14, 2016Closed access

Random forest in remote sensing: A review of applications and future directions

MBMariana BelgiuLDLucian Drăguţ

University of Salzburg · West University of Timişoara

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

6,644
total citations
FWCI
244.62
Percentile
100%
References
109
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Overfitting
  • Random forest
  • Classifier (UML)
  • Computer science
  • Outlier
  • Artificial intelligence
  • Pattern recognition (psychology)
  • Curse of dimensionality
UN Sustainable Development Goals
  • Life in Land
No related works found for this paper.