A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses

Transportation Research Part C: Emerging Technologies

Volumn 47, Issue P2, 2014, Pages 155-167

  Beykaei, Seyed Ahad ^a   Zhong, Ming ^b   Shiravi, Sajad ^c   Zhang, Yun ^d  

^a UNIVERSITY OF TORONTO   (Canada)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^c UNIVERSITY OF WATERLOO   (Canada)

^d UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Land use extraction; Morphological analysis; Remote sensing; Spatial arrangement analysis

Indexed keywords

EXPERT SYSTEMS; EXTRACTION; HOUSING; LAND USE; LINGUISTICS; LOGISTIC REGRESSION; REMOTE SENSING; SPACE OPTICS; SPATIAL VARIABLES MEASUREMENT;

BINARY LOGISTIC REGRESSION MODELS; CLASSIFICATION ACCURACY; DATA-GATHERING METHODS; ECONOMIC INTERACTIONS; LAND COVER INFORMATIONS; MORPHOLOGICAL ANALYSIS; REMOTELY SENSED IMAGERY; SPATIAL ARRANGEMENTS;

DATA MINING;

GIS; LAND USE PLANNING; REMOTE SENSING; RESIDENTIAL LOCATION; SATELLITE DATA; URBAN DEVELOPMENT; URBAN PLANNING;

EID: 84908324597     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.06.012     Document Type: Article

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