Title: Performance of Built-up Area Classifications Using High-Resolution SAR Data
Authors: MOLCH KatrinGAMBA PaoloKAYITAKIRE Francois
Citation: CANADIAN JOURNAL OF REMOTE SENSING vol. 36 no. 3 p. 197-210
Publication Year: 2010
JRC N°: JRC62396
ISSN: 1712-7971
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC62396
Type: Articles in periodicals and books
Abstract: Identification of the built-up area from satellite imagery can provide a crucial information layer in disaster mitigation and management and for monitoring urban sprawl, e.g., in developing countries. Spaceborne radar imagery is at an advantage in regions where environmental conditions impede the acquisition of optical image data. Automated exploitation procedures are imperative for efficient, large-area coverage. However, methodologies must be developed or adapted to account for the specific characteristics of synthetic aperture radar (SAR) data. This study evaluates the identification of the built-up area on RADARSAT-1 fine mode and Environmental Satellite (ENVISAT) image mode data using the texture-based, anisotropic, rotation-invariant built-up presence index. Data selection and processing parameters are discussed. User¿s accuracies of up to 77.5% and overall accuracies of up to 81.3% were achieved in this comparative study without any postclassification editing.
JRC Directorate:Sustainable Resources

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