常规合成孔径雷达差分干涉测量技术在区域地表形变探测中存在时空失相关和大气延迟的影响,为了克服或减弱它们的影响,分离和提取线性、非线性形变时间序列以及地形数据误差与大气信号,以西安市沉降场为研究对象,用17景Envisat数据进行了实验研究,并与常规D—InSAR结果比较,证实了PS—InSAR技术用于地表形变监测的有效性。
In order to delete or reduce the influences of both spatiotemporal decorrelation and atmospheric delay in the conventional synthetic aperture radar differential interferometry , this paper introduces the separation and extraction of the linear and non-linear time series deformations , topographic errors and atmospheric signals. Taking the subsidence fields of Xi'an City as the study area,experimental study were performed with 17 SAR scenes taken by Envisat. Comaparing with the conventional D-InSAR, the results show that the PS-InSAR method is effective.