An Integrated Model for Extracting Surface Deformation Components by PSI Time Series
An Integrated Model for Extracting Surface Deformation Components by PSI Time Series
复制标题
利用PSI时间序列提取表面变形分量的集成模型
DOI：
10.1109/lgrs.2013.2274474
复制
发表时间：
2014-02
影响因子：
4.8
通讯作者：
Zhilin Li
中科院分区：
文献类型：
--
作者：
Rui Zhang;Guoxiang Liu;Tao Li;Lanxin Huang;Bing Yu;Qiang Chen;Zhilin Li
持续散射体干涉合成孔径雷达（PSI）已被证明是监测地表变形的有力工具。然而，传统的变形模型不能完全适用于分析复杂的变形过程。本文提出了一个综合考虑季节响应和构造运动的综合变形模型，通过PSI时间序列分离变形分量，得到各PS处的线性变形速率、变形加速度和季节变形幅度。提出了一种迭代求解方法来估计集成模型中的参数。利用2009年至2010年期间获得的40幅高分辨率TerraSAR-X SAR图像和在7个基准点和6个人造角反射器上通过精密水准测量收集的地面实况数据，对天津西北部（中国）进行了沉降检测实验。试验结果表明，与常规模型相比，集成模型对研究区的沉降过程具有更好的适应性。进一步的分析表明，迭代解得到的变形结果与地面实测数据吻合较好。这表明，该方法是有效的监测具有显着的非线性特性的表面变形。
The persistent scatterer interferometric synthetic aperture radar (PSI) has proven to be a powerful tool for monitoring surface deformation. However, the conventional deformation models cannot be fully adapted to analysis of the complicated deformation process. Taking into account seasonal response and tectonic movement, this letter presents an integrated deformation model for separating deformation components through PSI time series, thus obtaining the linear deformation rate, the deformation acceleration and the seasonal deformation amplitude at each PS. An iterative solution method is proposed to estimate the parameters in the integrated model. The experiments are carried out for subsidence detection over the northwestern part of Tianjin (China) by using the 40 high-resolution TerraSAR-X SAR images acquired between 2009 and 2010 and the ground truth data collected by precise leveling at seven benchmarks and six man-made corner reflectors. The testing results indicate that the integrated model has better adaptability to the subsidence process in the study area than the conventional models. The further analysis shows that the deformation results derived from the iterative solution are in better agreement with the ground truth data. These demonstrate that the proposed methodology is effective for monitoring the surface deformation with remarkable nonlinear property.
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影响因子：
8.2
作者：
Ferretti, A;Prati, C;Rocca, F
通讯作者：
Rocca, F
DOI：
10.1109/tgrs.2003.814657
发表时间：
2003-10-01
影响因子：
8.2
作者：
Mora, O;Mallorqui, JJ;Broquetas, A
通讯作者：
Broquetas, A
DOI：
10.1109/tgrs.2009.2030792
发表时间：
2010-02-01
影响因子：
8.2
作者：
Wegmueller, Urs;Walter, Diana;Werner, Charles L.
通讯作者：
Werner, Charles L.
影响因子：
8.2
作者：
Ferretti, A;Prati, C;Rocca, F
通讯作者：
Rocca, F
影响因子：
3.4
作者：
Sun Woong Kim;Chang-Wook Lee;Kyo-Young Song;Kyungduck Min;Joong-Sun Won
通讯作者：
Sun Woong Kim;Chang-Wook Lee;Kyo-Young Song;Kyungduck Min;Joong-Sun Won