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ASSESSMENT METHOD OF BUILDING DAMAGE IN LUSHAN 7.0 EARTHQUAKE SICHUAN USING HIGH RESOLUTION AERIAL IMAGERY

机译:利用高分辨率空中图像评估庐山建筑损伤的评估方法

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摘要

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日在中国四川庐山发生了M = 7.0的灾难地震。建筑物严重受损,道路被破坏,交通是交通中断。发生地震发生后,在同一天获得了高分辨率高达0.2米的遥感图像。在紧急救援,灾害评估,地震后恢复和重建的相对较短的时间内,预处理的数据与机构共享。基于这些图像,我们进行了组和单一建筑物损伤程度识别,遥感损伤指数快速确定,地震丢失评估,专题映射等。本文首先介绍了关于庐山地震的应急响应机制关于遥感数据获取和共享的初步讨论。在城市,城镇或村庄分析和总结了航空图像中建筑物的灾害特征,该城镇或村庄分布在不同地震强度区域,然后建立了诸如光谱,形状,纹理和阴影等性能识别。此外,本文提出了一种基于遥感的评估建设的方法和结果。

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