Urban land use extraction from Very High Resolution remote sensing imagery using a Bayesian network

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 122, Issue , 2016, Pages 192-205

  Li, Mengmeng ^a   Stein, Alfred ^a   Bijker, Wietske ^a   Zhan, Qingming ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b WUHAN UNIVERSITY   (China)

Author keywords

Bayesian network; Building types; Spatial arrangement characterization; Urban land use; Very High Resolution

Indexed keywords

BAYESIAN NETWORKS; EXTRACTION; IMAGE PROCESSING; REMOTE SENSING;

BAYESIAN NETWORK METHODS; BUILDING TYPES; FUNCTIONAL PROPERTIES; NETWORK INTEGRATION; REMOTE SENSING IMAGES; SPATIAL ARRANGEMENTS; URBAN LAND USE; VERY HIGH RESOLUTION;

LAND USE;

BAYESIAN ANALYSIS; BUILDING; ENVIRONMENTAL INDICATOR; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; LAND USE; NETWORK ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; URBAN AREA;

CHINA; HUBEI; WUHAN;

EID: 84996483871     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2016.10.007     Document Type: Article

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