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Feature of the displacement in applying the sub-pixel matching methodology to high-resolution TerraSAR-X images in the Great East Japan Earthquake 2011

机译:在2011年东日本大地震中将子像素匹配方法应用于高分辨率TerraSAR-X图像的位移特征

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A study was conducted for developing an automatic sub-pixel matching methodology and applying on the imageries of one of the high-resolution SAR satellites, TerraSAR-X. The results indicated the accuracy of about 0.2 m in X direction, and better than 0.1 m in Y direction by comparing with the referenced GNSS observation data. This study was aimed to show the accuracy and feature of the displacement depending on the land cover types of the objects of the selected matching points using the three pairs of TerraSAR-X images of Tohoku region acquired pre- and post-earthquake in 2011. The developed methodology is focused on the spatial texture around the point, and there is some possibility that different kinds of objects except man-made buildings are utilized to calculate the displacement. Selected point of each sub-area was classified into several objects firstly, and the correlation coefficient and the amplitude for the selected points were analyzed subsequently. Finally the statistical analysis was conducted, and showed the errors of the displacement quantitatively for each object. This paper describes the knowledge for the applied methodology to high-resolution SAR satellite imageries in detail, and also implies the key points for the improvement.
机译:进行了一项研究,以开发一种自动的亚像素匹配方法,并将其应用于高分辨率SAR卫星之一TerraSAR-X的图像上。与参考的GNSS观测数据相比,结果表明X方向的精度约为0.2 m,Y方向的精度优于0.1 m。这项研究的目的是使用2011年地震前后采集的东北地区的三对TerraSAR-X图像,根据所选匹配点的对象的土地覆盖类型来显示位移的精度和特征。发达的方法论着眼于该点周围的空间纹理,并且有可能使用除人造建筑以外的不同种类的物体来计算位移。首先将每个子区域的选定点分类为几个对象,然后分析选定点的相关系数和幅度。最后进行了统计分析,定量地显示了每个物体的位移误差。本文详细介绍了应用于高分辨率SAR卫星图像的方法学知识,并指出了改进的重点。

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