基于雷达干涉永久散射体网络探测地表形变的算法与实验结果

为削弱常规卫星DInSAR技术在区域地表形变探测应用中时空失相关与大气延迟的负面影响,探索和发展了基于永久散射体(PS)观测网络建模与参数稳健估计的算法并开发一套完整的计算程序,可达到分离和提取线性与非线性形变时间序列、地形数据误差与大气信号的目的。以上海市沉降场为对象,选取1992~2002年间ERS-1/2卫星所获取的26幅SAR影像为源数据,分别开展模拟和真实数据的实验,证实该算法和计算程序是有效而可靠的。

Detecting Ground Deformation with Permanent-Scatterer Network in Radar Interferometry:Algorithm and Testing Results

To mitigate the negative influences of both spatio-temporal decorrelation and atmospheric delay in the conventional synthetic aperture radar differential interferometry(DInSAR),this paper explores and develops a permanent-scatterer(PS) networking algorithm and a set of computer programs.Both models and robust parameter-estimation strategy are presented.This method can be utilized to separate and extract the linear and nonlinear time series deformations,topographic errors and atmospheric signals.Taking the subsidence field of Shanghai as the study area,the experiments of deformation analysis by PS-DInSAR are finally performed using the simulated data and the 26 SAR scenes taken by ERS-1/2 from 1992 to 2002.The testing results show that the PS-networking method is effective and reliable.