A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and L-1-Norm Minimization
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AbstractAtmospheric 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 L-1-norm minimization. The proposed algorithm improves the robustness of time series deformation estimation by combining a smoothing constraint and L-1-norm minimization. The smoothing constraint can minimize temporal atmospheric artifacts, and the L-1-norm minimization outperforms L-2-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 L-1-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.
All Author(s) ListWang JL, Deng YK, Wang R, Ma PF, Lin H
Journal nameIEEE Geoscience and Remote Sensing Letters
Year2019
Month7
Volume Number16
Issue Number7
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Pages1061 - 1065
ISSN1545-598X
eISSN1558-0571
LanguagesEnglish-United Kingdom
KeywordsDeformation monitoring, small baseline (SB), synthetic aperture radar interferometry (InSAR)
Web of Science Subject CategoriesGeochemistry & Geophysics;Engineering, Electrical & Electronic;Remote Sensing;Imaging Science & Photographic Technology;Geochemistry & Geophysics;Engineering;Remote Sensing;Imaging Science & Photographic Technology

Last updated on 2020-25-03 at 00:20