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ImageCat presents Bridge Damage Detection Algorithms at Washington Transportation Security Workshop Long Beach, CA - October 2002. Bridge damage detection algorithms developed by ImageCat, Inc., through a research grant from DOT, take center stage at the October 2002 NCRST-H workshop - promoting the use of remote sensing for Transportation Security. In extreme events, such as terrorist attacks and natural disasters, the performance of critical US transportation elements is a major concern. The 500,000 bridges and 4 million miles of road that are under threat necessitate real-time monitoring and rapid response. Damage to highway bridges is detected as the change between remotely sensed images acquired ‘before’ and ‘after’ an event. Bridge Hunter and Bridge Doctor algorithms track down bridges of interest, and then diagnose their structural integrity. The Figure below illustrates how this approach successfully distinguishes between bridges that: (a) collapsed; and (b) sustained negligible damage during the 1994 Northridge earthquake. |
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