EARTHQUAKE-INDUCED BUILDING DAMAGE ASSESSMENT BASED ON SAR CORRELATION AND TEXTURE

被引：0
|
作者：
Gong, Lixia [1 ]
Li, Qiang [1 ]
Wu, Fan [2 ]
Zhang, Jingfa [1 ]
Tian, Tian [1 ]
Jiang, Hongbo [1 ]
机构：
[1] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
关键词：
Earthquake; Building damage assessment; SAR correlation; texture;
D O I：
10.1109/igarss.2019.8898467
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
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.
引用
收藏
页码：9600 / 9602
页数：3
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