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CRInSAR Using Two-Step LAMBDA Algorithm for Nonlinear Deformation Estimation: Case Study of Monitoring Xiangtan Converter Station, China

机译:克林斯利用两步λ算法进行非线性变形估计:监测湘潭换算站的案例研究

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摘要

Deformation monitoring of a converter station of an electrical power transmission system will help to prevent potential damages to power facilities and properties. Corner reflector InSAR (CRInSAR) enables local deformation measurements in low coherence areas like construction-engineering projects. However, the accuracy of CRInSAR will be degraded by the phase unwrapping errors, especially when the deformation is large or dominated by nonlinear component. This letter reports a study that employs CRInSAR technique to monitor the deformations of ten CRs installed in Xiangtan converter station, China, with seven TerraSAR-X Spotlight images. A two-step phase unwrapping tactics is proposed based on the least squares ambiguity decorrelation adjustment (LAMBDA) algorithm to focus on estimating nonlinear deformation without being affected by unwrapping errors. The results reveal that the two-step LAMBDA algorithm can achieve an accuracy of less than 2 mm for CRInSAR deformation monitoring regardless of small- or large-scale deformations, as validated by the trigonometric leveling measurements.
机译:电力传输系统的变换站的变形监测将有助于防止电力设施和特性的潜在损坏。拐角反射器insar(Crinsar)使局部变形测量能够在建筑工程项目等低相干区域。然而,Crinsar的准确性将被相位展开误差降低,特别是当变形大或由非线性组分主导时。这封信报告了一个采用Crinsar技术来监测Xiangtan Conver Station,中国安装的十个CRS的变形的研究,有七个Terrasar-X Spotlight图像。基于最小二乘歧义去相关调整(Lambda)算法,专注于估计非线性变形而不受展开误差影响的情况下,提出了两步相位展开策略。结果表明,无论小型或大规模变形如何,两步Lambda算法可以达到克拉纳变形监测的精度小于2 mm,而是通过三角测量测量验证。

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