The characteristics of collapsed buildings are examined by image processing of aerial television images taken after the 1995 Hyogoken-Nanbu (Kobe) earthquake. In image processing, not only variance and predominant direction of edge intensity, but also some statistical textures derived from the co-occurrence matrix of edge intensity are used for the extraction of the characteristics of collapsed buildings. The proposed automated damage detection method is applicable to high-resolution satellite imagery such as IKONOS with a panchromatic one-meter spatial resolution as well as to aerial imagery. Using this approach, collapsed buildings in the Kobe images are approximately identified.
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