Efficient collection of training data for sub-pixel land cover classification using neural networks

International Journal of Applied Earth Observation and Geoinformation

Volumn 13, Issue 4, 2011, Pages 657-667

  Heremans, Stien ^a   Bossyns, Bert ^a,b   Eerens, Herman ^b   Van Orshoven, Jos ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

Crop area estimation; Neural networks; Sampling; Training data

Indexed keywords

ACCURACY ASSESSMENT; AGRICULTURAL LAND; ANNUAL VARIATION; ARTIFICIAL NEURAL NETWORK; CROP; IMAGE RESOLUTION; LAND CLASSIFICATION; LAND COVER; MODIS; NDVI; PIXEL; SATELLITE IMAGERY; THEMATIC MAPPING; TIME SERIES ANALYSIS;

BELGIUM;

EID: 80053280697     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2011.03.008     Document Type: Article

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