Examining region-based methods for land cover classification using stochastic distances

International Journal of Remote Sensing

Volumn 37, Issue 8, 2016, Pages 1902-1921

  Negri, R G ^a   Dutra, L V ^b   Sant'Anna, S J S ^b   Lu, D ^c  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^c MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; PIXELS; RADAR IMAGING; REMOTE SENSING; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

CLASSIFICATION METHODS; COMPLEX ENVIRONMENTS; HIGH RESOLUTION IMAGERY; LAND COVER CLASSIFICATION; PIXEL BASED CLASSIFICATIONS; REGION-BASED METHODS; REMOTE SENSING DATA; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

CLASSIFICATION (OF INFORMATION);

IMAGE CLASSIFICATION; IMAGE RESOLUTION; LAND COVER; PIXEL; REMOTE SENSING; STOCHASTICITY;

EID: 84963818881     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2016.1165883     Document Type: Article

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