Rule-based classification of a very high resolution image in an urban environment using multispectral segmentation guided by cartographic data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 8, 2010, Pages 3198-3211

  Bouziani, Mourad ^a   Goita, Kalifa ^b   He, Dong Chen ^b  

^a INSTITUT AGRONOMIQUE ET VÉTÉRINAIRE HASSAN II   (Morocco)

^b UNIVERSITÉ DE SHERBROOKE   (Canada)

Author keywords

Geographic database; high resolution satellite imagery; rule based classification; urban environment

Indexed keywords

CARTOGRAPHIC DATA; CHANGE DETECTION; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION PROCESS; CLASSIFICATION RESULTS; CONTEXTUAL INFORMATION; DATA DEPENDENT; DIGITAL MAP; GEOGRAPHIC DATABASE; HIGH RESOLUTION SATELLITE IMAGERY; HIGH SPATIAL RESOLUTION; MAXIMUM-LIKELIHOOD CLASSIFICATION; MULTISPECTRAL SEGMENTATION; OBJECT ORIENTED; REMOTE SENSING IMAGES; RULE-BASED CLASSIFICATION; SEGMENTATION ALGORITHMS; SEGMENTATION RESULTS; SEGMENTED IMAGES; SENSING DATA; SPATIAL PARAMETERS; SPECTRAL DATA; URBAN AREAS; URBAN ENVIRONMENTS; URBAN STUDIES; VERY HIGH RESOLUTION IMAGE;

ALGORITHMS; DATABASE SYSTEMS; MAPPING; MAXIMUM LIKELIHOOD ESTIMATION; REMOTE SENSING; SATELLITE IMAGERY; URBAN PLANNING;

IMAGE SEGMENTATION;

ACCURACY ASSESSMENT; ALGORITHM; CARTOGRAPHY; DIGITAL MAP; IMAGE CLASSIFICATION; IMAGE RESOLUTION; MAXIMUM LIKELIHOOD ANALYSIS; MULTISPECTRAL IMAGE; PARAMETERIZATION; PIXEL; REMOTE SENSING; SEGMENTATION; SPATIAL RESOLUTION; URBAN AREA;

EID: 77954758622     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2044508     Document Type: Article

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