Earthquake-Induced Building Damage Assessment Based On Sar Correlation And Texture

SAR remote sensing has shown its excellence in providing important information for damage mapping in a large area. SAR change detection is a fast and efficient way to identify damaged buildings by comparing post-seismic to pre-seismic images. When a building collapses after an earthquake, the corresponding SAR signal could be stronger or weaker. So it is hard to decide whether a target is damaged by simple intensity difference or ratio. In this paper SAR correlation and texture are combined to explore the function between building damage degree and SAR texture change.