测绘通报 ›› 2022, Vol. 0 ›› Issue (10): 105-109,128.doi: 10.13474/j.cnki.11-2246.2022.0302

• 技术交流 • 上一篇    下一篇

一种联合GACOS与线性大气校正的StaMPS PSI时序分析方法

何希山1, 周平2, 陈刚2   

  1. 1. 中国电建集团昆明勘测设计研究院有限公司, 云南 昆明 650033;
    2. 中国地质大学(武汉)海洋学院, 湖北 武汉 430074
  • 收稿日期:2022-01-21 修回日期:2022-08-27 发布日期:2022-11-02
  • 作者简介:何希山(1994-),男,硕士,助理工程师,主要从事InSAR数据处理及应用研究。E-mail:mountain_he@cug.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(41674015)

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

HE Xishan1, ZHOU Ping2, CHEN Gang2   

  1. 1. PowerChina Kunming Engineering Corporation Limited, Kunming 650033, China;
    2. College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China
  • Received:2022-01-21 Revised:2022-08-27 Published:2022-11-02

摘要: 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。

关键词: 时序InSAR, StaMPS PSI, GACOS, 大气延迟, 形变监测

Abstract: 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.

Key words: time series InSAR, StaMPS PSI, GACOS, atmospheric delay, land subsidence monitoring

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