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.
Original language | English |
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Pages (from-to) | 211-228 |
Number of pages | 18 |
Journal | Remote Sensing |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Externally published | Yes |
Keywords
- Deformation time series estimation
- Hierarchical network construction
- High-resolution SAR images
- Persistent scatterer interferometry
ASJC Scopus subject areas
- General Earth and Planetary Sciences