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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Using an Integer Least Squares Estimator to Connect Isolated InSAR Fringes in Earthquake Slip Inversion
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Using an Integer Least Squares Estimator to Connect Isolated InSAR Fringes in Earthquake Slip Inversion

机译：在地震滑动反演中使用整数最小二乘估计器连接孤立的InSAR条纹

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摘要

Coherence loss is a critical issue in interferometric synthetic aperture radar geodesy, particularly when short-wavelength radar images are used to monitor earthquake deformation, and it may result in isolated fringes in an interferogram. The conventional unwrapping algorithms may incompletely unwrap or wrongly estimate the integer jumps between isolated fringes. In this paper, we propose a novel method to connect the isolated fringes in earthquake slip inversion. We use multiple starting points to unwrap the interferogram and then solve the integer ambiguities among the starting points by a dislocation-model-based integer least squares estimator. This estimator allows us to provide a quantitative evaluation of the reliability of the integer solutions in terms of two indicators (the success rate and residual ratio). The algorithm is robust to a certain degree of data noise and fault geometry error, as tested. Simulated experiments and case studies demonstrate that the proposed method can give better unwrapping results than the conventional approaches such as the minimum-cost flow (MCF), statistical-cost network-flow algorithm for phase unwrapping (SNAPHU), and iterative forms of MCF and SNAPHU with the assistance of a slip model. The earthquake slip inversion therefore benefits from the more accurate unwrapping results.
机译：相干损耗是干涉式合成孔径雷达大地测量中的关键问题，尤其是在使用短波雷达图像监测地震变形时，相干损耗可能会导致干涉图中出现孤立的条纹。传统的展开算法可能会不完全展开或错误地估计孤立条纹之间的整数跳跃。在本文中，我们提出了一种连接地震滑动反演中的孤立条纹的新方法。我们使用多个起点解开干涉图，然后通过基于位错模型的整数最小二乘估计器求解起点之间的整数歧义。该估计器使我们能够根据两个指标（成功率和残差率）对整数解的可靠性进行定量评估。经测试，该算法对于一定程度的数据噪声和故障几何错误具有鲁棒性。仿真实验和案例研究表明，与常规方法相比，该方法可提供更好的解包结果，例如最小成本流（MCF），统计成本网络相位解缠算法（SNAPHU）以及MCF和的迭代形式。 SNAPHU在滑模的帮助下。因此，地震滑动反演得益于更准确的展开结果。

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