Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images

International Journal of Applied Earth Observation and Geoinformation

Volumn 51, Issue , 2016, Pages 60-73

  Rougier, Simon ^a   Puissant, Anne ^a   Stumpf, André ^a   Lachiche, Nicolas ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Active learning; Object based classification; Random forest; Sampling strategies evaluation; Urban vegetation mapping; VHR satellite images

Indexed keywords

ALGORITHM; IMAGE CLASSIFICATION; MAPPING; SAMPLING; SATELLITE IMAGERY; URBAN AREA; VEGETATION;

EID: 84997523905     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2016.04.005     Document Type: Article

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