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

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• 作者：HuaDong Guo (1)
  LinLin Lu (2)
  JianWen Ma (1)
  Martino Pesaresi (3)
  FangYan Yuan (2)
  
• 关键词：earthquake ; airborne ADS40 data ; collapsed building ; reflectance similarity ; automatic detection
• 刊名：Chinese Science Bulletin
• 出版年：2009
• 出版时间：September 2009
• 年：2009
• 卷：54
• 期：18
• 页码：3303-3307
• 全文大小：705KB
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• 作者单位：HuaDong Guo (1)
  LinLin Lu (2)
  JianWen Ma (1)
  Martino Pesaresi (3)
  FangYan Yuan (2)
  
  1. Center for Earth Observation and Digital Earth (CEODE), Chinese Academy of Sciences, Beijing, 100190, China
  2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China
  3. Institute for the Protection and Security of the Citizen (IPSC), European Commission Joint Research Center, Ispra (Varese), 21027, Italy
  
• ISSN：1861-9541

文摘

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.