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Remote Sens. 2015, 7(1), 211-228; doi:10.3390/rs70100211

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

1
Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
2
State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
3
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, Hubei, China
4
Institute of Space and Earth Information Science, Chinese University of Hong Kong, Hong Kong, China
*
Author to whom correspondence should be addressed.
Academic Editors: Jixian Zhang, Richard Gloaguen and Prasad S. Thenkabail
Received: 30 September 2014 / Accepted: 15 December 2014 / Published: 24 December 2014
(This article belongs to the Special Issue Remote Sensing Dedicated to Geographical Conditions Monitoring)
View Full-Text   |   Download PDF [5822 KB, uploaded 24 December 2014]   |  

Abstract

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. View Full-Text
Keywords: persistent scatterer interferometry; high-resolution SAR images; hierarchical network construction; deformation time series estimation persistent scatterer interferometry; high-resolution SAR images; hierarchical network construction; deformation time series estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhang, R.; Liu, G.; Li, Z.; Zhang, G.; Lin, H.; Yu, B.; Wang, X. A Hierarchical Approach to Persistent Scatterer Network Construction and Deformation Time Series Estimation. Remote Sens. 2015, 7, 211-228.

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