Automatic Identification of Earthquake-Caused Building Harm Based on Image Fusion

摘要

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.