A Small-Baseline InSAR Inversion Algorithm Combining a Smoothing Constraint and L-1-Norm Minimization
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摘要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.
著者Wang JL, Deng YK, Wang R, Ma PF, Lin H
期刊名稱IEEE Geoscience and Remote Sensing Letters
出版年份2019
月份7
卷號16
期次7
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
頁次1061 - 1065
國際標準期刊號1545-598X
電子國際標準期刊號1558-0571
語言英式英語
關鍵詞Deformation monitoring, small baseline (SB), synthetic aperture radar interferometry (InSAR)
Web of Science 學科類別Geochemistry & Geophysics;Engineering, Electrical & Electronic;Remote Sensing;Imaging Science & Photographic Technology;Geochemistry & Geophysics;Engineering;Remote Sensing;Imaging Science & Photographic Technology

上次更新時間 2020-29-05 於 00:28