Keywords
Random forestHyperspectral imagingArtificial intelligenceFeature selectionPattern recognition (psychology)Computer scienceAdaBoostRemote sensingClassifier (UML)Ensemble learningLand coverSupport vector machineFeature (linguistics)Machine learningGeographyLand use
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Publication Info
- Year
- 2008
- Type
- article
- Volume
- 112
- Issue
- 6
- Pages
- 2999-3011
- Citations
- 830
- Access
- Closed
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Cite This
Jonathan Cheung-Wai Chan,
Desiré Paelinckx
(2008).
Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery.
Remote Sensing of Environment
, 112
(6)
, 2999-3011.
https://doi.org/10.1016/j.rse.2008.02.011
Identifiers
- DOI
- 10.1016/j.rse.2008.02.011