基于改进MT-InSAR技术的首都机场南高速公路健康观测

Xuemin Xing;Li Huang;Zhongming He;Tengfei Zhang;Yikai Zhu
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引用次数: 1

摘要

目的:我国机场南部高速公路位于软土地区,可能给机场交通安全运营带来极大隐患。技术或方法:基于一种新的时间序列InSAR变形模型和一种改进的参数估计算法,提出了一种改进多时相干涉合成孔径雷达(MT-InSAR)技术的新方法,用于软土高速公路监测。一维线性流变学中基于Maxwell模型的变形与蠕变参数(粘度和弹性模量)之间的函数关系取代了传统的InSAR线性模型,蠕变物理参数可以在求解过程中同时求解。引入了具有不等式约束的最小二乘法(LSIC)来求解未知参数。总共使用了19张覆盖南部高速公路的TerraSAR-X雷达卫星图像来验证所提出的方法。获得了2012年1月至2014年7月高速公路沿线各像素的蠕变参数和时间序列变形序列。结果:结果表明,高速公路沿线最大沉降量高达125mm,精度验证结果表明,建模精度为1.6mm,与传统线性模型相比提高了36.0%;变形结果的内部精度为±1.9mm,占最大变形量的1.5%。临床或生物影响:我们的方法可以为土壤贫瘠地区的基础设施和交通运营管理的长期健康监测和预警提供数据支持和参考。
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Health Observation of the Capital Airport South Expressway Based on Improved MT-InSAR Technology
Objectives: The Airport South Expressway in China is built in a soft soil area, which may induce great hidden danger to airport traffic safety operations. Technology or Method: A new method to improve multitemporal interferometric synthetic aperture radar (MT-InSAR) technology, based on a novel time-series InSAR deformation model and an improved parameter estimation algorithm, is proposed for soft soil expressways monitoring. The functional relationship between the deformation and the creep parameters (viscosity and elastic modulus) based on the Maxwell model in 1-D linear rheology replaces the traditional InSAR linear model, and the creep physical parameters can be solved simultaneously in the solution process. The least squares method with inequality constraints (LSICs) is induced to solve the unknown parameters. In total, 19 TerraSAR-X radar satellite images covering the South Expressway were utilized to validate the proposed method. The creep parameters for each pixel along the expressways and the time-series deformation sequences from January 2012 to July 2014 were obtained. Results: As the results showed, the maximum settlement along the expressway was up to 125 mm, and the accuracy verification results showed that the modeling accuracy was 1.6 mm, with an improvement of 36.0% compared to the traditional linear model; the internal accuracy of the deformation results was ±1.9 mm, accounting for 1.5% of the maximum deformation. Clinical or Biological Impact: Our method can provide data support and a reference for long-term health monitoring and early warning of infrastructure and traffic operation management in poor soil regions.
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