首页> 外文会议>Asian conference on remote sensing;ACRS >ASSESSMENT METHOD OF BUILDING DAMAGE IN LUSHAN 7.0 EARTHQUAKE SICHUAN USING HIGH RESOLUTION AERIAL IMAGERY
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ASSESSMENT METHOD OF BUILDING DAMAGE IN LUSHAN 7.0 EARTHQUAKE SICHUAN USING HIGH RESOLUTION AERIAL IMAGERY

机译:高分辨率航空影像在四川庐山7.0级地震建筑物损伤评估中的应用。

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A catastrophe earthquake with M=7.0 occurred on April 20, 2013 in Lushan, Sichuan Province, China. The buildings were seriously damaged, roads were broken and transportation was traffic disruption. After the earthquake happened, a lot of remote sensing images with the high resolution up to 0.2 meter were acquired at the same day. Data preprocessed were shared with the institutes in relatively short time for emergency rescue, disaster assessment, post-earthquake restoration and reconstruction. Based on these images, we carried out the group and single buildings damage degree identification, remote sensing damage index quick determination, earthquake losing assessment, thematic mapping, and so on. The paper begins with a brief discussion of the emergency response mechanism in Lushan earthquake about remote sensing data acquiring and sharing. The disaster characteristics of building in the aerial images are analyzed and summarized in the city, town or village, which distribute in the different earthquake intensity region, then the performance identification such as spectral, shape, texture and shadow was established. Furthermore, the paper presents a methodologies and results of losing assessment building based on the remote sensing.
机译:2013年4月20日,中国四川省庐山发生了M = 7.0的大地震。建筑物遭到严重破坏,道路被破坏,交通中断。地震发生后,当天就采集了许多高分辨率高达0.2米的遥感图像。预处理后的数据在较短的时间内便与研究所共享,用于紧急救援,灾难评估,地震后的恢复和重建。基于这些图像,我们进行了群和单个建筑物的破坏程度识别,遥感破坏指数的快速确定,地震损失评估,专题映射等。本文首先简要介绍了庐山地震的遥感数据采集与共享应急机制。通过对城市,城镇或乡村分布在不同地震烈度区域的航空影像中建筑物的灾害特征进行分析和归纳,建立了光谱,形状,质地,阴影等性能识别指标。此外,本文提出了一种基于遥感的损失评估构建的方法和结果。

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