A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and [Formula Omitted]-Norm Minimization

Atmospheric artifacts and phase unwrapping errors have unfavorable effects on differential synthetic aperture radar interferometry (DInSAR) deformation monitoring. In this letter, we present an alternative small-baseline DInSAR inversion algorithm, velocity-constraint [Formula Omitted]-norm minimiza...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2019-01, Vol.16 (7), p.1061
Main Authors: Wang, Jili, Deng, Yunkai, Wang, Robert, Ma, Peifeng, Lin, Hui
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Deformation
Deformation effects
Errors
Interferometric synthetic aperture radar
Interferometry
Inversion
Optimization
Phase unwrapping
SAR (radar)
Smoothing
Synthetic aperture radar
Synthetic aperture radar interferometry
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Summary:Atmospheric artifacts and phase unwrapping errors have unfavorable effects on differential synthetic aperture radar interferometry (DInSAR) deformation monitoring. In this letter, we present an alternative small-baseline DInSAR inversion algorithm, velocity-constraint [Formula Omitted]-norm minimization. The proposed algorithm improves the robustness of time series deformation estimation by combining a smoothing constraint and [Formula Omitted]-norm minimization. The smoothing constraint can minimize temporal atmospheric artifacts, and the [Formula Omitted]-norm minimization outperforms [Formula Omitted]-norm minimization in the presence of phase unwrapping errors. The iteratively reweighted least square algorithm is employed to adjust the weights of DInSAR observations and smoothing constraints in [Formula Omitted]-norm minimization. The proposed algorithm is validated using simulated data and TerraSAR-X data. The experimental results show that the proposed algorithm is suitable for the inversion of approximately linear deformation processes affected by both atmospheric artifacts and unwrapping errors.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2019.2893422