An improved automatic detection method for earthquake-collapsed buildings from ADS40 image

作     者：GUO HuaDong LU LinLin MA JianWen PESARESI Martino YUAN FangYan 

作者机构：Center for Earth Observation and Digital Earth (CEODE) Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China Institute for the Protection and Security of the Citizen (IPSC) European Commission Joint Research Center Ispra (Varese) 21027Italy 

出 版 物：《Chinese Science Bulletin》 (中国科学通报)

年 卷 期：2009年第54卷第18期

页      面：3303-3307页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 08[工学] 081402[工学-结构工程] 0708[理学-地球物理学] 0814[工学-土木工程] 

基　　金：Supported by the National Basic Research Program of China (Grant No. 2009 CB723906) Knowledge Innovation Program of the Chinese Academy of Sciences (Grant No. KKCX1-YW-01) 

主　　题：地震烈度 建筑物 自动检测方法 倒塌 自动识别技术 地球 形象 图像灰度 

摘      要：Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for mapping seismic intensity. After the May 12th Wenchuan major earthquake occurred, experts from CEODE and IPSC collaborated to make a rapid earthquake damage assessment. A crucial task was to identify collapsed buildings from ADS40 images in the earthquake region. The difficulty was to differentiate collapsed buildings from concrete bridges, dry gravels, and landslide-induced rolling stones since they had a similar gray level range in the image. Based on the IPSC method, an improved automatic identification technique was developed and tested in the study area, a portion of Beichuan County. Final results showed that the technique’s accuracy was over 95%. Procedures and results of this experiment are presented in this article. Theory of this technique indicates that it could be applied to collapsed building identification caused by other disasters.