Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

Mathematical Geosciences

Volumn 46, Issue 1, 2014, Pages 33-57

  Micheletti, Natan ^a   Foresti, Loris ^b   Robert, Sylvain ^c   Leuenberger, Michael ^a   Pedrazzini, Andrea ^a   Jaboyedoff, Michel ^a   Kanevski, Mikhail ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

^b ROYAL METEOROLOGICAL INSTITUTE OF BELGIUM   (Belgium)

^c ETH ZURICH   (Switzerland)

Author keywords

AdaBoost; Adaptive scaling SVM; Landslide susceptibility mapping; Multiscale terrain features; Object based validation; Random forests; Support vector machines (SVM)

Indexed keywords

ADAPTIVE BOOSTING; ARTIFICIAL INTELLIGENCE; DECISION TREES; FEATURE EXTRACTION; LANDSLIDES; LEARNING SYSTEMS; SPATIAL DISTRIBUTION; SPATIAL VARIABLES MEASUREMENT; SUPPORT VECTOR MACHINES;

ADAPTIVE SCALING; LANDSLIDE SUSCEPTIBILITY MAPPING; OBJECT BASED; RANDOM FORESTS; TERRAIN FEATURES;

MAPPING;

EID: 84924293058     PISSN: 18748961     EISSN: 18748953     Source Type: Journal    
DOI: 10.1007/s11004-013-9511-0     Document Type: Article

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