Support vector machine to map oil palm in a heterogeneous environment

International Journal of Remote Sensing

Volumn 35, Issue 13, 2014, Pages 4778-4794

  Nooni, I K ^a   Duker, A A ^b   Van Duren, I ^a   Addae Wireko, L ^b   Osei Jnr, E M ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Ghana)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; MAPPING; MAXIMUM LIKELIHOOD; PALM OIL; RADIAL BASIS FUNCTION NETWORKS; SUSTAINABLE DEVELOPMENT;

CLASSIFICATION ACCURACY; CLASSIFICATION APPROACH; CLASSIFICATION PROCESS; HETEROGENEOUS ENVIRONMENTS; MAXIMUM LIKELIHOOD CLASSIFIERS; RADIAL BASIS FUNCTIONS; SUPPORT VECTOR MACHINE (SVMS); SUSTAINABILITY CRITERIA;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; ARTIFICIAL INTELLIGENCE; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; MAXIMUM LIKELIHOOD ANALYSIS; PLANTATION; SATELLITE DATA; SATELLITE IMAGERY; SUSTAINABILITY; VEGETABLE OIL; VEGETATION COVER; VEGETATION MAPPING;

ELAEIS;

EID: 84904967979     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.930201     Document Type: Article

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