Separating and unwrapping of residual topographical and time-series deformation phases in PS-InSAR based on zero-temporal baseline combination and time-domain differentiation
发布时间:2023-11-30
点击次数:
DOI码:10.1109/JSTARS.2023.3333960
发表刊物:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
关键字:PS-InSAR,Zero-temporal baseline combination,Time-domain phase difference,Phase unwrapping,Deformation time series
摘要:To separate and unwrap the residual topographical and deformation components from the wrapped phases are the kay issues for Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique. The currently methods, such as grid-search method based on the assumption that the deformation in time-domain is linear, or the LAMBDA method that needs priori information to construct the pseudo-observations, etc., are still difficult to trade off accuracy against efficiency. In this paper, we propose a new method to separate and unwrap the differential phases for PS-InSAR by dividing them into residual topographical phase and differential deformation phases and performing the phase unwrapping separately. Firstly, we calculate phase ambiguities caused by residual topographical error by zero-temporal baseline combination and single parameter grid-search method. The calculated residual topographical error is used to separate the differential phases dominated by deformations from the original differential phases of PS-InSAR. Then we proposed time-domain differentiation to unwrap differential phases dominated by deformations without any assumption of deformation model in time-domain. The performance of the proposed method is tested by both simulated and real datasets. The experimental results show that, compared with classic PS-InSAR, the accuracy of residual topographical error estimation is comparable, however there is an accuracy improvement of 34.4% for the deformation parameter estimation and 35.7% for nonlinear deformation time series extraction, as well as an improvement of 20∼40 times in computational efficiency.
论文类型:期刊论文
学科门类:工学
一级学科:测绘科学与技术
文献类型:J
是否译文:否
收录刊物:SCI
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