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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.
Haihui Wang,Hui Du,Minjiang Chen, andAiping 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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Haihui Wang, Hui Du, Minjiang Chen, 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