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A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and $L_1$ -Norm Minimization.
- Source :
- IEEE Geoscience & Remote Sensing Letters; Jul2019, Vol. 16 Issue 7, p1061-1065, 5p
- Publication Year :
- 2019
-
Abstract
- 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 $L_{1}$ -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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1545598X
- Volume :
- 16
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- IEEE Geoscience & Remote Sensing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 137214461
- Full Text :
- https://doi.org/10.1109/LGRS.2019.2893422