Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30892
Title: Estimating spatiotemporal ground deformation with improved persistent-scatterer radar interferometry
Authors: Liu, G
Buckley, SM
Ding, X 
Chen, Q
Luo, X
Keywords: Atmospheric signal
Empirical mode decomposition (EMD)
Ground deformation
Persistent-scatterer (PS) networking
Radar interferometry
Issue Date: 2009
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2009, v. 47, no. 9, 5210230, p. 3209-3219 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: Synthetic aperture radar interferometry has been applied widely in recent years to ground deformation monitoring although difficulties are often encountered when applying the technology, among which the spatial and temporal decorrelation and atmospheric artifacts are the most prominent. The persistent-scatterer interferometric synthetic aperture radar (PS-InSAR) technique has overcome some of the difficulties by focusing only on the temporally coherent radar targets in a time series of synthetic aperture radar (SAR) images. This paper presents an improved PS-InSAR technique by introducing PS-neighborhood networking and empirical mode decomposition (EMD) approaches in the PS-InSAR solution. Linear deformation rates and topographic errors are estimated based on a least squares method, while the nonlinear deformation and atmospheric signals are computed by singular value decomposition and the EMD method. An area in Phoenix, AZ, is used as a test site to determine its historical subsidence with 39 C-band SAR images acquired by European Remote Sensing 1 and 2 satellites from 1992 to 2000.
URI: http://hdl.handle.net/10397/30892
ISSN: 0196-2892
EISSN: 1558-0644
DOI: 10.1109/TGRS.2009.2028797
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