An Algorithm for Estimating and Correcting Decorrelation Phase From InSAR Data Using Closure Phase Triplets
An Algorithm for Estimating and Correcting Decorrelation Phase From InSAR Data Using Closure Phase Triplets
复制标题
使用闭合相位三元组估计和校正 InSAR 数据去相关相位的算法
DOI：
10.1109/tgrs.2019.2934362
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发表时间：
2019
影响因子：
8.2
通讯作者：
Yujie Zheng
中科院分区：
文献类型：
--
作者：
R. Michaelides;H. Zebker;Yujie Zheng
提出了一种新的干涉合成孔径雷达（干涉合成孔径雷达）数据相位误差量化和校正方法。所提出的方法涉及到观察到的相位非封闭（称为关闭相位）的三重组合的任何三个单独的SAR场景中的单独的干涉图（SAR场景对）的去相关相位信号。利用奇异值分解（SVD）方法求解任意SAR图像解相关相位的最小范数最小二乘最佳拟合估计。然后从各个干涉图中去除该去相关相位;然后可以将这些校正的干涉图与现有的干涉合成孔径雷达时间序列分析算法一起使用。我们证明了这种方法上的先进陆地观测卫星相控阵型L波段合成孔径雷达（ALOS PALSAR）的场景的地下水抽水沉降功能在中央谷的加州，并简要讨论了这种算法的潜在的未来应用研究的各种环境和表面的物理过程，有助于干涉合成孔径雷达信号去相关。
We propose a novel method for quantifying and correcting phase errors in interferometric synthetic aperture radar (InSAR) data associated with signal decorrelation. This proposed method relates the observed phase nonclosure (referred to as the closure phase) of triplet combinations of any three individual SAR scenes to the decorrelative phase signal in individual interferograms (pairs of SAR scenes). A singular value decomposition (SVD) method is applied to solve the minimum-norm least-squares best fitting estimate of the decorrelation phase for any arbitrary collection of SAR images. This decorrelative phase is then removed from individual interferograms; these corrected interferograms can then be used with existing InSAR time-series analysis algorithms. We demonstrate this method on the Advanced Land Observation Satellite Phased Array type L-band Synthetic Aperture Radar (ALOS PALSAR) scenes of a groundwater pumping subsidence feature in the Central Valley of California and briefly discuss potential future applications of this algorithm to study a variety of environmental and surface physical processes that contribute to InSAR signal decorrelation.
影响因子：
3.9
作者：
Bekaert, D. P. S.;Hooper, A.;Wright, T. J.
通讯作者：
Wright, T. J.
影响因子：
3.9
作者：
Jolivet, Romain;Agram, Piyush Shanker;Li, Zhenghong
通讯作者：
Li, Zhenghong