Random Forests as a tool for estimating uncertainty at pixel-level in SAR image classification

International Journal of Applied Earth Observation and Geoinformation

Volumn 19, Issue 1, 2012, Pages 173-184

  Loosvelt, Lien ^a   Peters, Jan ^a   Skriver, Henning ^b   Lievens, Hans ^a   Van Coillie, Frieke M B ^a   De Baets, Bernard ^a   Verhoest, Niko E C ^a  

^a GHENT UNIVERSITY   (Belgium)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Crop classification; Data fusion; Entropy; Land cover; Model uncertainty; Prediction probability; Random forestsmulti frequency Multi date; Synthetic aperture radar (SAR)

Indexed keywords

AGRICULTURAL LAND; ALGORITHM; CROPPING PRACTICE; DATA SET; ENVIRONMENTAL MODELING; ERROR ANALYSIS; IMAGE CLASSIFICATION; LAND CLASSIFICATION; LAND COVER; NUMERICAL MODEL; PIXEL; PROBABILITY; SPATIAL VARIATION; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS; VEGETATION MAPPING;

DENMARK;

EID: 84872776258     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.05.011     Document Type: Article

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