一种联合GACOS与线性大气校正的StaMPS PSI时序分析方法

雷达信号通过大气层时,会产生路径延迟,从而影响InSAR测量精度。常规靠时空滤波的时序InSAR分析方法,虽能削弱其影响,但仍存在一定局限。其中StaMPS PSI方法凭借适用范围广、开源等优点,受到众多学者的青睐。为此本文以香港地区为例,提出了一种联合GACOS与线性大气校正的StaMPS PSI时序分析方法,并与常规 StaMPS PSI对比,最后使用GNSS观测数据对InSAR结果进行验证。结果表明:在SAR数据集较为丰富的情况下,常规时序分析方法能较好地克服大气延迟影响,但相比而言,本文提出的新方法更能反映出真实的地表形变。

A StaMPS PSI time series analysis method combined with GACOS and linear atmospheric correction

The radar signal will get propagation path delay when it through the atmosphere, which will affect the accuracy of InSAR measurement. Although the conventional time series InSAR analysis method based on spatio-temporal filtering can weaken its influence, it still has certain limitations. StaMPS PSI time series analysis method is favored by many scholars because of its many advantages.Therefore, in this paper, taking Hong Kong as an example,a StaMPS PSI time series analysis method combining GACOS and linear atmospheric correction is proposed and compared with conventional StaMPS PSI. Finally, GNSS observation data is used to verify the InSAR results. The results show that the conventional time series analysis method can better overcome the influence of atmospheric delay when the SAR data sets are abundant, but the new method can better reflect the real surface deformation.