Building Damage Mapping of the 2003 Bam, Iran, Earthquake Using Envisat/ASAR Intensity Imagery
Building Damage Mapping of the 2003 Bam, Iran, Earthquake Using Envisat/ASAR Intensity Imagery
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DOI：
10.1193/1.2101027
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发表时间：
2005-12
影响因子：
5
通讯作者：
M. Matsuoka;F. Yamazaki
中科院分区：
文献类型：
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作者：
M. Matsuoka;F. Yamazaki
2003年12月26日，伊朗巴姆市地下发生强烈地震。地震后获得的高分辨率光学卫星图像，如Ikonos和QuickBird，表明严重受损的地区广泛分布在城市中。欧洲的一颗雷达卫星Envisat也于2004年1月7日拍摄到了重灾区。本文介绍了一种基于1995年日本神户地震数据集的自动损伤检测技术，并将其应用于Bam的Envisat/ASAR图像。为了提高震害检测的精度，从Envisat/ASAR图像前后的后向散射系数和相关系数的差异方面，对巴姆地震灾区的特征进行了详细的研究。最后，对损伤制图方案进行了修正，以呈现Bam的损伤区域分布。
A strong earthquake occurred beneath the city of Bam, Iran, on 26 December 2003. High-resolution optical satellite images, such as Ikonos and QuickBird, obtained after the earthquake indicate that severely damaged areas were widely distributed in the city. A European radar satellite, Envisat, also captured the hard-hit areas on 07 January 2004. This paper introduces an automated damage detection technique that was developed based on the data set of the 1995 Kobe, Japan, earthquake and applied to Envisat/ASAR images of Bam. A detailed investigation of the characteristics of the areas damaged due to the Bam earthquake in terms of the differences in the backscattering coefficient and the correlation coefficient of the pre- and post-event Envisat/ASAR images was conducted in order to raise the precision of damage detection. Finally, the damage-mapping scheme was revised to present the distribution of damaged areas in Bam.