A new approach to accurately estimate deformation in PS-DInSAR: solution-space search

Xiaojun Luo, Guoxiang Liu, Ding-fa Huang
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引用次数: 1

Abstract

Bi-dimensional period-diagram methodology proposed by Ferretti in radar interferometry based on permanent scatterers (PS-InSAR) for estimating the deformation from neighboring differential phases (NDP) are affected by the distribution uniformity of normal baseline and temporal baselines and the quantity of interferograms. To overcome the shortage of Bi-dimensional period-diagram methodology, a new method, called solution-space search (SSS) method is proposed in this paper to estimate the parameters of PSs' NDP model. The experiment to detect ground subsidence over Lujiazui in Shanghai during 1992-2002 and the comparison with bi-dimensional period-diagram are performed. The result shows that the SSS method can be used to effectively and reliably estimate the deformations without considering the distribution uniformity of normal baseline and temporal baseline and the quantity of interferograms. Furthermore, more accurate estimations are achieved with SSS method.
一种精确估计PS-DInSAR变形的新方法:解空间搜索
Ferretti提出的基于永久散射体(PS-InSAR)的二维周期图方法用于估计邻近差相(NDP)的变形,该方法受正态基线和时间基线分布均匀性以及干涉图数量的影响。为了克服二维周期图方法的不足,本文提出了一种求解空间搜索(SSS)方法来估计二维周期图模型的参数。对上海陆家嘴地区1992-2002年地面沉降进行了试验研究,并与二维周期图进行了对比。结果表明,在不考虑正常基线和时间基线分布均匀性和干涉图数量的情况下,SSS方法可以有效、可靠地估计变形。此外,使用SSS方法可以获得更精确的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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