Pixel-based interferometric pair selection in InSAR time series analysis with baseline criteria
Pixel-based interferometric pair selection in InSAR time series analysis with baseline criteria
复制标题
具有基线标准的 InSAR 时间序列分析中基于像素的干涉对选择
DOI：
10.1080/2150704x.2016.1182660
复制
发表时间：
2016
影响因子：
2.3
通讯作者：
T. Matsuoka
中科院分区：
文献类型：
--
作者：
K. Ishitsuka;T. Tsuji;T. Matsuoka
标准的合成孔径雷达干涉测量（干涉合成孔径雷达）时间序列分析使用干涉测量对选择使用任意固定的基线标准，和像素内的基线标准相干用于位移估计。然而，适当的基线标准可能因像素而异，特别是在郊区，因为相干性变化取决于特定像素的散射特性。因此，最好是确定最佳基线标准，利用该标准逐像素地选择干涉测量对。在这项研究中，我们开发了这样一种方法，通过满足相干阈值和最大限度地提高地表位移速度的精度。这种最佳干涉对的选择使我们能够使用更大数量的干涉对高度相干的像素，这可以提高估计的表面位移的精度。此外，它能够估计的位移与最小数量的干涉对噪声像素，这可以增加可用于映射表面位移的像素的数量。我们研究了我们的方法，估计在新西兰Ohaaki地热田周围的地表位移速度。结果表明，可用于绘制表面位移速度的相干像素数有所增加。因此，与标准分析相比，表面位移的面积定义得更清楚。
Standard synthetic aperture radar interferometry (InSAR) time-series analysis uses interferometric pairs selected using arbitrarily fixed baseline criteria, and pixels coherent within the baseline criteria are used for displacement estimations. However, adequate baseline criteria could differ pixel by pixel, especially in suburban areas, because coherence variation depends on the scattering characteristics of specific pixels. Accordingly, it would be better to determine the optimal baseline criteria with which to select interferometric pairs on a pixel-by-pixel basis. In this study, we developed such a method by satisfying a coherence threshold and by maximizing the accuracy of surface displacement velocity. This selection of optimal interferometric pairs enables us to use a greater number of interferometric pairs for highly coherent pixels, which can improve the accuracy of the estimated surface displacements. Furthermore, it enables the estimation of displacement with a minimal number of interferometric pairs for noisy pixels, which can increase the number of pixels available for mapping surface displacement. We examined our method by estimating surface displacement velocity around the Ohaaki geothermal field in New Zealand. The results showed an increase in the number of coherent pixels available to map surface displacement velocity. Accordingly, the area of surface displacement was defined more clearly compared with the standard analysis.