Building-damage detection using post-seismic high-resolution SAR satellite data
Building-damage detection using post-seismic high-resolution SAR satellite data
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DOI：
10.1080/01431161003727671
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发表时间：
2010-01-01
影响因子：
3.4
通讯作者：
Liao, Mingsheng
中科院分区：
文献类型：
--
作者：
Balz, Timo;Liao, Mingsheng
雷达卫星图像能够不受天气条件、昼夜影响，在支持 2008 年 5 月 12 日汶川地震后的广泛救援行动中发挥了重要作用。然而，使用合成孔径雷达（SAR）数据识别受损或被摧毁的建筑物是一项具有挑战性的任务。识别受损建筑物的标准程序是通过比较震后与震前图像来进行变化检测，但在汶川地震中受损的相当偏远地区，几乎没有存档的高分辨率 SAR 图像。因此，有必要仅使用事后 SAR 图像进行建筑物损坏评估，以评估损坏区域。本文提出了关于高分辨率 SAR 图像中倒塌建筑物外观的理论假设，并通过该地区真实 SAR 图像的视觉特征解释进行了验证。
Radar satellite imagery was valuable in supporting extensive rescue operations after the Wenchuan Earthquake on 12 May 2008 due to its ability to operate independently of weather conditions, day and night. However, it is a challenging task to identify damaged or destroyed buildings using synthetic aperture radar (SAR) data. The standard procedure for identifying damaged buildings is to use change detection by comparing post-seismic to pre-seismic images, but almost no archived high-resolution SAR images were available of the rather remote area damaged by the Wenchuan Earthquake. Building-damage assessment using only post-event SAR images was therefore necessary to assess the areas of damage. In this paper, theoretical assumptions about the appearance of collapsed buildings in high-resolution SAR images were drawn and verified with visual feature interpretations of real SAR images from the area.