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Modeling PSInSAR Time Series Without Phase Unwrapping


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...Show More

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.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 49, Issue: 1, January 2011)
Page(s): 547 - 556
Date of Publication: 23 July 2010

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