Remote sensing for urban planning and management: The use of window-independent context segmentation to extract urban features in Stockholm

Computers, Environment and Urban Systems

Volumn 52, Issue , 2015, Pages 1-9

  Nielsen, Michael Meinild ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Feature extraction; Segmentation; Spatial analysis; Urban planning and management; Urban remote sensing

Indexed keywords

FEATURE EXTRACTION; GEOGRAPHIC INFORMATION SYSTEMS; IMAGE SEGMENTATION; LAND USE; URBAN PLANNING;

EXTRACT INFORMATIONS; PIXEL BASED CLASSIFICATIONS; PLANNING AND MONITORING; SEGMENTATION METHODS; SPATIAL ANALYSIS; THEORETICAL FRAMEWORK; URBAN REMOTE SENSING; VISUAL INTERPRETATION;

REMOTE SENSING;

GIS; IMAGE CLASSIFICATION; LAND USE PLANNING; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SEGMENTATION; SPATIAL ANALYSIS; SPOT; URBAN PLANNING;

STOCKHOLM [STOCKHOLM (CNT)]; STOCKHOLM [SWEDEN]; SWEDEN;

EID: 84924225136     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2015.02.002     Document Type: Article

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