Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake
Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake
复制标题
DOI：
10.1109/tgrs.2008.2002695
复制
发表时间：
2009-01-01
影响因子：
8.2
通讯作者：
Emery, William J.
中科院分区：
文献类型：
--
作者：
Chini, Marco;Pierdicca, Nazzareno;Emery, William J.
利用卫星传感器探测地震造成的城市破坏和其他地表变化正受到越来越多的关注。不同分辨率的光学图像和雷达图像是这一应用的有用工具，特别是在执行新的飞行任务和未来可能的卫星星座将有更频繁的重访时间的情况下。甚高分辨率图像（1米或更低）可提供单个建筑物尺度的信息，而分辨率为几十米的图像可显示地区尺度的损害程度。这两类信息如果能及时提供给救援队，可能都极为重要。袭击伊朗巴姆市的地震被视为一个测试案例，QuickBird VHR光学图像和先进的合成孔径雷达数据在事件发生前后都可以使用。本文研究了处理这些数据的方法，以检测损害和提取用于估计损害程度的特征，指出这些卫星数据的巨大潜力及其可能的协同作用。
Using satellite sensors to detect urban damage and other surface changes due to earthquakes is gaining increasing interest. Optical images at different resolutions and radar images represent useful tools for this application, particularly when more frequent revisit times will be available with the implementation of new missions and future possible constellations of satellites. Very high resolution (VHR) images (on the order of 1 m or less) may provide information at the scale of a single building, whereas images at resolutions on the order of tens of meters may give indications of damage levels at a district scale. Both types of information may be extremely important if provided with sufficient timeliness to rescue teams. The earthquake that hit the city of Bam, Iran, has been taken as a test case, where QuickBird VHR optical images and advanced synthetic aperture radar data were available both before and after the event. Methods to process these data in order to detect damage and to extract features used to estimate damage levels are investigated in this paper, pointing out the significant potential of these satellite data and their possible synergy.