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首页> 外文期刊>International journal of remote sensing >Crustal movement estimation based on an unchanged-feature points method using TerraSAR-X intensity images: application to the 2011 Tohoku earthquake
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Crustal movement estimation based on an unchanged-feature points method using TerraSAR-X intensity images: application to the 2011 Tohoku earthquake

机译:使用TerraSAR-X强度图像的基于不变特征点方法的地壳运动估计:在2011年东北地震中的应用

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摘要

This paper presents a method to estimate significant crustal movement caused by the 2011 Tohoku earthquake in Japan. The method is based on the assumption that independent of the dramatic changes of the ground surface, still many unchanged areas, which we call unchanged-feature points, can be found. First, we use the Scale Invariant Feature Transform (SIFT) algorithm to detect the unchanged-feature point candidates in pre- and post-event TerraSAR-X images at similar locations. Then, a sub-pixel alignment procedure is used to obtain accurately matched point pairs. Finally, the unchanged-feature points are detected by eliminating unstable point pairs. The method was tested on TerraSAR-X images covering the Sendai area in Tohoku, Japan. Compared with the global position system (GPS) records and two previously published methods, our method is found to be an effective tool to detect crustal movement at a sub-pixel level.
机译:本文提出了一种方法来估算由2011年日本东北地震引起的地壳运动。该方法基于这样的假设:独立于地表的剧烈变化,仍然可以找到许多不变区域,我们称之为不变特征点。首先,我们使用尺度不变特征变换(SIFT)算法来检测事件前后TerraSAR-X图像中相似位置的不变特征点候选。然后,使用子像素对准程序来获得精确匹配的点对。最后,通过消除不稳定的点对来检测特征不变的点。该方法在覆盖日本东北仙台地区的TerraSAR-X图像上进行了测试。与全球定位系统(GPS)记录和两个以前发布的方法相比,我们的方法被发现是检测亚像素级地壳运动的有效工具。

著录项

  • 来源
    《International journal of remote sensing》 |2014年第18期|6674-6686|共13页
  • 作者单位

    Department of Space Microwave Remote Sensing Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Department of Space Microwave Remote Sensing Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Department of Space Microwave Remote Sensing Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Department of Space Microwave Remote Sensing Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Department of Space Microwave Remote Sensing Systems, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    State Key Laboratory of Information Engineering, Wuhan University, Wuhan, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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