Structural damage detection using bi-temporal optical satellite images
Multi-temporal satellite imagery is now available at sub-metre accuracy and has been found to be very useful for performing rapid damage assessment on human settlement areas affected by large-scale disasters. In this article, a method of formulating structural damage detection measures
based on pre- and post-disaster satellite images is proposed. To validate the proposed damage measures, building-based structural damage assessment is conducted. First, their effectiveness in representing multilevel structural damage is demonstrated using synthetic patterns of building damage.
Second, the damage classification accuracy is evaluated by means of a pattern classification approach applied to a pair of bi-temporal satellite images, wherein earthquake damage to hundreds of buildings is assessed. The article concludes that the proposed damage detection measures, which
are conceptually simple and computationally efficient, outperform traditional measures, such as linear correlation coefficients.
Document Type: Research Article
Affiliations: 1: Department of Civil and Mechanical Engineering,University of Missouri–Kansas City, Kansas CityMO64110, USA 2: Department of Structural Engineering,University of California, San Diego, La JollaCA92093, USA
Publication date: 10 September 2011
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