Earthquake-Induced Building Damage Assessment Based on SAR Correlation and Texture
- Resource Type
- Conference
- Authors
- Gong, Lixia; Li, Qiang; Wu, Fan; Zhang, Jingfa; Tian, Tian; Jiang, Hongbo
- Source
- IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2019 - 2019 IEEE International. :9600-9602 Jul, 2019
- Subject
- Aerospace
Geoscience
Signal Processing and Analysis
Earthquake
Building damage assessment
SAR correlation
texture
- Language
- ISSN
- 2153-7003
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.