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

  • Articles/Geology
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Chinese Science Bulletin

Abstract

Earthquake-collapsed building identification is important in earthquake damage assessment and is evidence for map** 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.

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Author information

Authors and Affiliations

  1. Center for Earth Observation and Digital Earth (CEODE), Chinese Academy of Sciences, Bei**g, 100190, China

    HuaDong Guo & JianWen Ma

  2. Graduate University of Chinese Academy of Sciences, Bei**g, 100049, China

    LinLin Lu & FangYan Yuan

  3. Institute for the Protection and Security of the Citizen (IPSC), European Commission Joint Research Center, Ispra (Varese), 21027, Italy

    Martino Pesaresi

Authors
  1. HuaDong Guo
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  2. LinLin Lu
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  3. JianWen Ma
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  4. Martino Pesaresi
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  5. FangYan Yuan
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Corresponding author

Correspondence to HuaDong Guo.

Additional information

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

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Guo, H., Lu, L., Ma, J. et al. An improved automatic detection method for earthquake-collapsed buildings from ADS40 image. Chin. Sci. Bull. 54, 3303–3307 (2009). https://doi.org/10.1007/s11434-009-0461-3

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  • DOI: https://doi.org/10.1007/s11434-009-0461-3

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