A Hierarchical Approach to Persistent Scatterer Network Construction and Deformation Time Series Estimation

Remote Sensing

Rui Zhang³  Guoxiang Liu³  Zhilin Li³  Guo Zhang²  Hui Lin⁴  Bing Yu³  Xiaowen Wang³  Jixian Zhang¹  Richard Gloaguen¹ 

[1] Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China;;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, China; E-Mail:;Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China; E-Mails:;Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China; E-Mail:

关键词: persistent scatterer interferometry;    high-resolution SAR images;    hierarchical network construction;    deformation time series estimation;   

DOI  :  10.3390/rs70100211

来源: mdpi

【 摘 要 】

This paper presents a hierarchical approach to network construction and time series estimation in persistent scatterer interferometry (PSI) for deformation analysis using the time series of high-resolution satellite SAR images. To balance between computational efficiency and solution accuracy, a dividing and conquering algorithm (i.e., two levels of PS networking and solution) is proposed for extracting deformation rates of a study area. The algorithm has been tested using 40 high-resolution TerraSAR-X images collected between 2009 and 2010 over Tianjin in China for subsidence analysis, and validated by using the ground-based leveling measurements. The experimental results indicate that the hierarchical approach can remarkably reduce computing time and memory requirements, and the subsidence measurements derived from the hierarchical solution are in good agreement with the leveling data.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.