Remote sensing for urban planning and management: The use of window-independent context segmentation to extract urban features in Stockholm
Number of Authors: 1
2015 (English)In: Computers, Environment and Urban Systems, ISSN 0198-9715, Vol. 52, 1-9 p.Article in journal (Refereed) Published
The strategic scale of urban planning and management is concerned with the planning and monitoring of general land use in a city, such as different types of residential, industrial and commercial areas. Because of the poor results of standard per-pixel-based classification methods in urban areas, visual interpretation of remote sensing data is often preferred. This paper empirically tests the ability of a novel method, called window-independent context segmentation, to extract information that is useful at the strategic scale of urban planning and management. The method is implemented in a theoretical framework that is a response to Bibby and Shepherd's call for a new ontology in the application of geographic information systems and remote sensing to land use issues. In a case study using a SPOT5 satellite image of central Stockholm, the window-independent context segmentation method extracts urban features that correspond to the strategic scale of urban-planning and management and that differ in function and underlying planning theory and practice.
Place, publisher, year, edition, pages
2015. Vol. 52, 1-9 p.
Urban remote sensing, Segmentation, Spatial analysis, Urban planning and management, Feature extraction
Computer and Information Science Environmental Engineering Social and Economic Geography Economics and Business
IdentifiersURN: urn:nbn:se:su:diva-119143DOI: 10.1016/j.compenvurbsys.2015.02.002ISI: 000355709000001OAI: oai:DiVA.org:su-119143DiVA: diva2:843751