基于SAR影像中建筑足迹雷达特征的城市损害制图方法研究——以2013年超强台风“海燕”为例

B. Adriano, E. Mas, S. Koshimura, H. Gokon, Wen Liu, M. Matsuoka
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引用次数: 3

摘要

在这项研究中,提出了一种实用的方法,利用高分辨率合成孔径雷达(SAR)图像和2013年超强台风“海燕”在菲律宾塔克洛班市的灾后建筑受损数据绘制受损建筑地图。为了检测被破坏的建筑物,我们将重点放在建筑物足迹内雷达信号在事件前后SAR图像之间的变化上。该方法使用在菲律宾塔克洛班市拍摄的1.0 m分辨率cosmos - skymed SAR图像进行了测试。结果表明,该方法适用于被毁建筑物的估计,准确率为73%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a method for urban damage mapping using radar signatures of building footprint in SAR imagery: A case study after the 2013 Super Typhoon Haiyan
In this study, a practical methodology was presented to map damaged buildings using high resolution synthetic aperture radar (SAR) images and post-event building damage data from the 2013 Super Typhoon Haiyan, in Tacloban city, the Philippines. To detect destroyed structures, we focused on the changes in the radar signal within footprints of buildings between pre- and post-event SAR images. The method was tested using a 1.0 m resolution COSMO-SkyMed SAR images taken over Tacloban city, the Philippines. The method proves, with 73% accuracy in this case, to be suitable for estimating destroyed buildings.
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