A new Bayesian ensemble of trees approach for land cover classification of satellite imagery

Canadian Journal of Remote Sensing

Volumn 39, Issue 6, 2014, Pages 507-520

  Agarwal, Reshu ^a   Ranjan, Pritam ^a   Chipman, Hugh ^a  

^a ACADIA UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY TREES; FORESTRY; REMOTE SENSING;

BAYESIAN ADDITIVE REGRESSION TREES; LAND COVER CLASSIFICATION; LANDSAT-5 TM IMAGES; MULTI-CLASS CLASSIFIER; NON-PARAMETRIC CLASSIFIERS; PREDICTION ACCURACY; REMOTE SENSING APPLICATIONS; UNCERTAINTY MEASURES;

SATELLITE IMAGERY;

FORESTRY; IMAGE ANALYSIS; REMOTE SENSING; SATELLITES;

EID: 84896368510     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m14-003     Document Type: Article

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