Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16155
Title: Modeling PSInSAR time-series without phase unwrapping
Authors: Zhang, L 
Ding, X 
Lu, Z
Keywords: Covariance matrices
Least mean squares methods
Radar interferometry
Synthetic aperture radar
Time series
PSInSAR time series
Least-squares-based method
Multimaster wrapped differential interferogram
Multitemporal synthetic aperture radar interferometry
Outlier detector
Phase unwrapping
Variance-covariance matrix
Weight matrix
Delay estimation
Detectors
Error correction
Geology
Parameter estimation
Phase estimation
Radar detection
Radar scattering
Synthetic aperture radar interferometry
Volcanoes
Interferometric synthetic aperture radar (InSAR)
Least squares
Phase ambiguity
Synthetic aperture radar (SAR)
Issue Date: 2011
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on geoscience and remote sensing, 2011, v. 49, no. 1, p. 547-556 How to cite?
Journal: IEEE transactions on geoscience and remote sensing 
Abstract: In this paper, we propose a least-squares-based method for multitemporal synthetic aperture radar interferometry that allows one to estimate deformations without the need of phase unwrapping. The method utilizes a series of multimaster wrapped differential interferograms with short baselines and focuses on arcs at which there are no phase ambiguities. An outlier detector is used to identify and remove the arcs with phase ambiguities, and a pseudoinverse of the variance-covariance matrix is used as the weight matrix of the correlated observations. The deformation rates at coherent points are estimated with a least squares model constrained by reference points. The proposed approach is verified with a set of simulated data.
URI: http://hdl.handle.net/10397/16155
ISSN: 0196-2892
EISSN: 1558-0644
DOI: 10.1109/TGRS.2010.2052625
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