A hybrid classification scheme for mining multisource geospatial data

GeoInformatica

Volumn 15, Issue 1, 2011, Pages 29-47

  Vatsavai, Ranga Raju ^a   Bhaduri, Budhendra ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

EM; MLC; Semi supervised learning

Indexed keywords

DISTRIBUTED DATABASE SYSTEMS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD; MULTIVARIANT ANALYSIS; REMOTE SENSING; SAMPLING; SATELLITE IMAGERY; SEMI-SUPERVISED LEARNING;

CLASSIFICATION ACCURACY; CONDITIONAL PROBABILITY DENSITY; LANDSAT SATELLITE IMAGES; MULTISPECTRAL REMOTE SENSING IMAGE; MULTIVARIATE STATISTICAL MODELING; SPECTRAL CHARACTERISTICS; STATISTICAL DISTRIBUTION; SUPERVISED LEARNING METHODS;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; DATA MINING; DATABASE; LANDSAT; MAXIMUM LIKELIHOOD ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL DATA; STATISTICAL DISTRIBUTION; THEMATIC MAPPING;

EID: 78751575653     PISSN: 13846175     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10707-010-0113-4     Document Type: Article

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