DocumentCode :
2830215
Title :
Quantitative Assessment Of Building Damage In Urban Area Using Very High Resolution Images
Author :
Chesnel, Anne-Lise ; Binet, Renaud ; Wald, Lucien
Author_Institution :
Commissariat a l´´Energie Atomique, Bruyeres-le-Chatel
fYear :
2007
fDate :
11-13 April 2007
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
earthquakes; geophysical signal processing; image resolution; remote sensing; support vector machines; AD 2003 12; Bam; building damage; damage assessment methodology; earthquake; ground truth; images resolution; object-oriented analysis; support vector machines; urban area; Buildings; Databases; Earthquakes; Image analysis; Image resolution; Medical services; Support vector machine classification; Support vector machines; Testing; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Joint Event, 2007
Conference_Location :
Paris
Print_ISBN :
1-4244-0712-5
Electronic_ISBN :
1-4244-0712-5
Type :
conf
DOI :
10.1109/URS.2007.371865
Filename :
4234464
Link To Document :
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