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IEEE Urban Remote Sensing Joint Event 2007, Paris : France (2007)
An object oriented approach for quantitative assessment of building damage in urban areas using very high resolution images
Anne-Lise Chesnel 1, Renaud Binet 1, Lucien Wald 2
(2007)

Very high resolution images are particularly well adapted to damage assessment methodology in urban area because on one hand it allows an analysis focused on the buildings solely through an object-oriented analysis, and on the other hand it permits a quantitative evaluation of this damage assessment using a visually established ground truth. We propose in this paper a method of damage assessment that uses these two benefits. First an original object oriented approach to register the images is presented. Then a simple and fast damage assessment method based on correlation is proposed and tested on the test-case of the earthquake of Bam in December 2003. Each building of a test-area is classified using Support Vector Machines. The performance of the method in each case is evaluated thanks to a manually constructed reference database that uses the European Macroseismic Scale. As a result, 75% of buildings are well classified among four different EMS damage grades.
1 :  Département Analyse et Surveillance de l'Environnement (DASE)
CEA
2 :  Centre Énergétique et Procédés (CEP)
MINES ParisTech - École nationale supérieure des mines de Paris
CEP/Sophia MINES ParisTech BP 207 - Rue Claude Daunesse - 06904 Sophia Antipolis Cedex - France - http://www.mines-paristech.fr/Fr/CEP/
Sciences de l'environnement

Sciences de l'Homme et Société/Géographie

Sciences de l'ingénieur/Traitement du signal et de l'image

Informatique/Traitement du signal et de l'image
earthquakes – geophysical signal processing – image resolution – remote sensing – support vector machines
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