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Proceedings Paper

Automatic identification of earthquake-caused building harm based on image fusion
Author(s): Haihui Wang; Hui Du; Minjiang Chen; Aiping Cai
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Paper Abstract

This paper is to take the advantage of the imagery produced from QuickBird for damage identification in urban areas. The buildings collapsed following the Bam earthquake. We present our study results in remote sensing image fusion of identification of earthquake-caused building harm with HIS transform and intensity modulation. Commencing with the inventory of buildings as objects within high resolution QuickBird satellite imagery captured before the event. The number of collapsed buildings is computed based on the unique statistical characteristics of these buildings within the 'after' scene. The promising results from this analysis prove that improving spatial detail and spectral information could be used as a potential methodology for automated identification of building damage.

Paper Details

Date Published: 10 November 2007
PDF: 5 pages
Proc. SPIE 6795, Second International Conference on Space Information Technology, 67953P (10 November 2007); doi: 10.1117/12.774986
Show Author Affiliations
Haihui Wang, Wuhan Institute of Technology (China)
Hui Du, Wuhan Institute of Technology (China)
Minjiang Chen, Wuhan Institute of Technology (China)
Aiping Cai, Wuhan Institute of Technology (China)

Published in SPIE Proceedings Vol. 6795:
Second International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Jiaolong Wei, Editor(s)

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