New Approaches to Processing Ground-Based SAR (GBSAR) Data for Deformation Monitoring

被引：12

作者：

Long, Sichun ^{[1
,2
,3
]}

Tong, Aixia ^{[2
]}

Yuan, Ying ^{[2
]}

Li, Zhenhong ^{[3
]}

Wu, Wenhao ^{[1
,2
]}

Zhu, Chuanguang ^{[1
]}

机构：

[1] Hunan Univ Sci & Technol, Hunan Key Lab Coal Resources Clean Utilizat & Min, Xiangtan 411201, Peoples R China

[2] Hunan Univ Sci & Technol, Sch Resource Environm & Safety Engn, Xiangtan 411201, Peoples R China

[3] Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

来源：

REMOTE SENSING | 2018年 / 10卷 / 12期

基金：

中国国家自然科学基金;

关键词：

ground-based SAR; TS30; corner reflector (CR); deformation monitoring; PS point selection; atmospheric correction; INTERFEROMETRY;

D O I：

10.3390/rs10121936

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, aiming at the limitation of persistence scatterers (PS) points selection, a new method for selecting PS points has been introduced based on the average coherence coefficient, amplitude dispersion index, estimated signal-to-noise ratio and displacement standard deviation of multiple threshold optimization. The stability and quality of this method are better than that of a single model. In addition, an atmospheric correction model has also been proposed to estimate the atmospheric effects on Ground-based synthetic aperture radar (GBSAR) observations. After comparing the monitoring results before and after correction, we clearly found that the results are in good agreement with the actual observations after applying the proposed atmospheric correction approach.

引用

页数：15

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