A Non-homogenous Atmospheric Compensation Method for Deformation Monitoring of Wide-field Ground-based SAR

被引:0
|
作者
Bai Z. [1 ,2 ]
Wang Y. [2 ]
Wang Z. [3 ]
Hu J. [3 ]
Li Y. [2 ]
Lin Y. [2 ]
机构
[1] School of Electrical and Control Engineering, North China University of Technology, Beijing
[2] Radar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing
[3] School of Geoscience and Info-physics, Central South University, Changsha
基金
中国国家自然科学基金;
关键词
Atmospheric phase correction; Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR); Linear variation; Nonlinear variation; Stable persistent scatterers;
D O I
10.12000/JR22120
中图分类号
学科分类号
摘要
Atmospheric influence is the main interference factor in Ground-Based Interferometric Synthetic Aperture Radar (GB-InSAR) deformation monitoring. Due to the complex terrain and various environmental factors, the correction method based on the assumption of a uniform atmospheric influence may lead to low atmospheric correction accuracy. In this paper, a two-stage semi-empirical model is proposed to correct the atmospheric phase screen during the GB-InSAR monitoring of a super large slope under complex atmospheric conditions. First, the observed atmospheric phase is modeled according to the height and range of the terrain structure to correct the linear atmospheric phase. Then, considering the complex atmospheric conditions and the spatially nonuniform atmosphere with a large azimuth field of view, stable Persistent Scatterers (PS) are selected to obtain the atmospheric phase of all PS by interpolation to correct the nonlinear atmospheric phase. This method is used to process a large field of view radar image of the foundation of the Xinpu and Outang landslides in the Three Gorges Reservoir area. Compared with the conventional method, the atmospheric phase error is reduced by approximately 2 mm. This method effectively corrects the nonuniform atmospheric phase under the landslide monitoring scene and meets the wide-area monitoring needs of the landslide. © 2023 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
引用
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页码:53 / 63
页数:10
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