Geometry-Based SAR Curvilinear Feature Selection for Damage Detection
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 4Language: englishTyp: PDF
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Authors:
Brett, Peter T.B.; Guida, Raffaella (Surrey Space Centre, University of Surrey, Guildford, United Kingdom)
Abstract:
Bright curvilinear features in Synthetic Aperture Radar (SAR) images arising from the geometry of urban structures have been successfully used for estimating urban earthquake damage, using single pre- and post-event high resolution amplitude SAR images. In this paper, further automation of the process of selecting candidate curvilinear features for change detection is proposed, based on a model selection using priors derived from idealised building geometry. The technique is demonstrated using COSMO-SkyMed data covering the 2010 Port-au-Prince earthquake.