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Geometry-based SAR curvilinear feature selection for damage detection

Brett, P.T.B., and Guida, R (2012) Geometry-based SAR curvilinear feature selection for damage detection In: EUSAR 2012, 2012-04-23 - 2012-04-26, Nuremberg, Germany.

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Copyright 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Depositing User: Symplectic Elements
Date Deposited: 24 Aug 2012 09:43
Last Modified: 23 Sep 2013 19:32
URI: http://epubs.surrey.ac.uk/id/eprint/711819

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