An improved automatic detection method for earthquake-collapsed buildings from ADS40 image
An improved automatic detection method for earthquake-collapsed buildings from ADS40 image
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DOI：
10.1007/s11434-009-0461-3
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发表时间：
2009-08
影响因子：
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通讯作者：
Huadong Guo;Linlin Lu;Jianwen Ma;M. Pesaresi;Fangyan Yuan
中科院分区：
文献类型：
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作者：
Huadong Guo;Linlin Lu;Jianwen Ma;M. Pesaresi;Fangyan Yuan
地震倒塌房屋的识别是地震灾害评估的重要内容，也是地震烈度区划的依据。5.12汶川特大地震发生后，中国地震灾害评估中心与国际地震安全委员会合作开展了快速地震灾害评估工作。从地震区的ADS 40图像中识别倒塌的建筑物是一项关键任务。困难在于区分倒塌的建筑物与混凝土桥梁，干砾石和滑坡引起的滚石，因为它们在图像中具有相似的灰度范围。基于IPSC方法，开发了一种改进的自动识别技术，并在研究区，北川县的一部分进行了测试。最终结果表明，该技术的准确率超过95%。本文介绍了该实验的过程和结果。理论分析表明，该技术可应用于其他灾害引起的建筑物倒塌识别。
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.