Automatic identification of earthquake-caused building harm based on image fusion

Haihui Wang; Hui Du; Minjiang Chen; Aiping Cai

doi:10.1117/12.774986

10 November 2007 Automatic identification of earthquake-caused building harm based on image fusion

Haihui Wang, Hui Du, Minjiang Chen, Aiping Cai

Proceedings Volume 6795, Second International Conference on Space Information Technology; 67953P (2007) https://doi.org/10.1117/12.774986
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

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.

Citation Download Citation

Haihui Wang, Hui Du, Minjiang Chen, and Aiping Cai "Automatic identification of earthquake-caused building harm based on image fusion", Proc. SPIE 6795, Second International Conference on Space Information Technology, 67953P (10 November 2007); https://doi.org/10.1117/12.774986

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