Detection and Animation of Damage using very High-Resolution Satellite Data following the 2003 Bam, Iran, Earthquake
Detection and Animation of Damage using very High-Resolution Satellite Data following the 2003 Bam, Iran, Earthquake
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DOI：
10.1193/1.2101127
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发表时间：
2005-12
影响因子：
5
通讯作者：
T. Vu;M. Matsuoka;F. Yamazaki
中科院分区：
文献类型：
--
作者：
T. Vu;M. Matsuoka;F. Yamazaki
这项研究的重点是充分利用Ikonos和QuickBird等甚高分辨率卫星图像的减灾能力。实施了一种有效的自动化方法来检测损坏，以从VHR卫星图像中获得丰富的信息。因此，检测结果和VHR卫星图像通过飞越动画和可视化呈现。其目的是协助基于实地的损失估计，并加强公众意识。2003年12月伊朗巴姆地震后捕获的可用Ikonos和QuickBird数据被用来证明自动检测算法和飞越动画/可视化的能力。这些结果与基于场的损伤结果是一致的。
The focus of this study was to thoroughly exploit the capability of very high-resolution (VHR) satellite imagery such as Ikonos and QuickBird for disaster mitigation. An efficient automated methodology that detects damage was implemented to derive the rich information available from VHR satellite imagery. Consequently, the detected results and the VHR satellite imagery are attractively presented through a fly-over animation and visualization. The aim is to assist the field-based damage estimation and to strengthen public awareness. The available Ikonos and QuickBird data captured after the Bam, Iran, earthquake in December 2003 was employed to demonstrate the competence of the automated detection algorithm and fly-over animation/visualization. These results are consistent with the field-based damage results.