Synthetic Data Processing of Seismic Intensity Distribution and Satellite SAR Intensity Image for Early Detection of Building Damage Areas

Abstract

Seismic monitoring systems and satellite remote sensing are promising measures for rapid assessment of seismic damage distribution. To make the best of both information, considering the trade-off of promptness, precision and spatial resolution, a Bayesian method to synthesize seismic intensity distribution and remote sensing image has been proposed for post-earthquake early detection of building damage areas. Damage probability estimated by use of seismic intensity distribution and fragility relations serves as a prior information for Bayesian updating procedure. The satelite SAR intensity image is then incorporated to update the initial estimation, providing more reliable estimation of damage distribution.