Object-oriented mapping of landslides using Random Forests

Remote Sensing of Environment

Volumn 115, Issue 10, 2011, Pages 2564-2577

  Stumpf, André ^a,b   Kerle, Norman ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Image segmentation; Landslide mapping; Object oriented; Random Forest; VHR satellite images

Indexed keywords

AERIAL PHOTOGRAPHS; AFFECTED AREA; AUTOMATED IMAGE PROCESSING; BAND RATIOS; DATA SETS; ERROR RATE; FIELD SURVEYS; IMAGE INTERPRETATION; ITERATIVE PROCEDURES; LANDSCAPE ELEMENTS; LANDSLIDE MAPPING; MAJOR EVENTS; MANUAL LABORS; MAPPING TECHNIQUES; NORTHERN HEMISPHERES; OBJECT CLASSIFICATION; OBJECT ORIENTED; OBJECT-ORIENTED IMAGE ANALYSIS; OMISSION ERRORS; QUICKBIRD; RANDOM FORESTS; REMOTE SENSING IMAGERY; SPECTRAL SIMILARITY; SPURIOUS EFFECTS; TRAINING SAMPLE; VERY HIGH RESOLUTION; VHR SATELLITE IMAGES;

CLASSIFICATION (OF INFORMATION); DECISION TREES; FEATURE EXTRACTION; IMAGE ANALYSIS; LANDSLIDES; LEARNING ALGORITHMS; PHOTOGRAPHY; PHOTOMAPPING; REMOTE SENSING; RISK ANALYSIS; RISK ASSESSMENT;

IMAGE SEGMENTATION;

AERIAL PHOTOGRAPH; ALGORITHM; ERROR ANALYSIS; FIELD SURVEY; IKONOS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDSLIDE; NORTHERN HEMISPHERE; QUICKBIRD; RISK ASSESSMENT; SATELLITE IMAGERY; TOPOGRAPHIC MAPPING;

CHINA; FRANCE; HAITI; ITALY;

EID: 79960743609     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2011.05.013     Document Type: Article

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