An object oriented approach for quantitative assessment of building damage in urban areas using very high resolution images

An object oriented approach for quantitative assessment of building damage in urban areas using very high resolution images

[SDE] Environmental Sciences

[SHS:GEO] Humanities and Social Sciences/Geography

[SPI:SIGNAL] Engineering Sciences/Signal and Image processing

[INFO:INFO_TS] Computer Science/Signal and Image Processing

earthquakes

geophysical signal processing

image resolution

remote sensing

support vector machines

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.

Chesnel, Anne-Lise

Binet, Renaud

Wald, Lucien

Proceedings of IEEE Urban Remote Sensing Joint Event 2007,

IEEE Urban Remote Sensing Joint Event 2007

2007

ENG

conference proceeding

http://hal-ensmp.archives-ouvertes.fr/hal-00464866

DOI: 10.1109/URS.2007.371865

http://hal-ensmp.archives-ouvertes.fr/docs/00/46/48/66/PDF/JURSE07_paper.pdf

Paris

France