Semantic supervised clustering approach to classify land cover in remotely sensed images

Communications in Computer and Information Science

Volumn 123 CCIS, Issue , 2010, Pages 68-77

  Torres, Miguel ^a   Moreno, Marco ^a   Menchaca Mendez, Rolando ^a   Quintero, Rolando ^a   Guzman, Giovanni ^a  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; COMMONLY USED; CROP CONDITION; EARTH'S SURFACE; GEOGRAPHICAL DATA; GIS APPLICATION; LAND COVER; MAXIMUM LIKELIHOOD METHODS; MULTI-SPECTRAL; MULTISPECTRAL SATELLITE IMAGE; PRIORI KNOWLEDGE; REMOTELY SENSED IMAGES; SATELLITE IMAGES; SPATIAL SEMANTICS; SUPERVISED CLUSTERING; TRAINING DATA; URBAN GROWTH;

COMPUTER GRAPHICS; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE PROCESSING; INTERNET PROTOCOLS; LANDFORMS; MAXIMUM LIKELIHOOD; MULTIMEDIA SIGNAL PROCESSING; PATTERN RECOGNITION; PETROLEUM DEPOSITS; PETROLEUM REFINING; REMOTE SENSING; SEMANTICS; SIGNAL PROCESSING;

CLUSTER ANALYSIS;

EID: 78650844031     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-17641-8_10     Document Type: Conference Paper

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