An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry

Time-series SAR interferometry, which combines permanent scatterers (PSs) and distributed scatterers (DSs), has been strongly developed in recent years. Unlike PS, DS corresponds to a natural target whose neighboring pixels share similar reflectivity values. The selection of DS is relevant to the go...

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Autores principales:	Qian He, Xin He, Huifu Zhuang, Rui Wang, Jiawei Chen
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Distributed scatterers (DSs) interferometric synthetic aperture radar (InSAR) land subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/9a19d01a496e4111935fc989eca7ce50
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spelling	oai:doaj.org-article:9a19d01a496e4111935fc989eca7ce502021-11-18T00:02:32ZAn Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry2169-353610.1109/ACCESS.2021.3124455https://doaj.org/article/9a19d01a496e4111935fc989eca7ce502021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9594806/https://doaj.org/toc/2169-3536Time-series SAR interferometry, which combines permanent scatterers (PSs) and distributed scatterers (DSs), has been strongly developed in recent years. Unlike PS, DS corresponds to a natural target whose neighboring pixels share similar reflectivity values. The selection of DS is relevant to the goodness-of-fit value, the estimation of which is based on all possible combined interferometric phases and fails to avoid the adverse effect of low-quality phases. This paper used eigen-decomposition of coherence matrix that was constructed based on the identified homogeneous pixels to perform phase optimization, and then only the interferometric phases with low noise and clear fringes are utilized to measure the goodness-of-fit. 30 Sentinel-1A images were applied to test the improved method of land subsidence monitoring in Beijing, China. The deformation results of different methods were cross verified and the area statistics of the study area were carried out. The results show that the maximum subsidence monitored by the improved method is located in Jinzhan Town with a maximum rate of −109 mm/yr. This improved method extracts more measurement points with accuracy ensured, which is proved to be an effective way to provide the high spatial density of deformation measurements. The land subsidence in this area is mainly caused by the excessive exploitation of groundwater resources. This research provides support for the prevention and control work of relevant departments.Qian HeXin HeHuifu ZhuangRui WangJiawei ChenIEEEarticleDistributed scatterers (DSs)interferometric synthetic aperture radar (InSAR)land subsidenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150201-150212 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Distributed scatterers (DSs) interferometric synthetic aperture radar (InSAR) land subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Distributed scatterers (DSs) interferometric synthetic aperture radar (InSAR) land subsidence Electrical engineering. Electronics. Nuclear engineering TK1-9971 Qian He Xin He Huifu Zhuang Rui Wang Jiawei Chen An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
description	Time-series SAR interferometry, which combines permanent scatterers (PSs) and distributed scatterers (DSs), has been strongly developed in recent years. Unlike PS, DS corresponds to a natural target whose neighboring pixels share similar reflectivity values. The selection of DS is relevant to the goodness-of-fit value, the estimation of which is based on all possible combined interferometric phases and fails to avoid the adverse effect of low-quality phases. This paper used eigen-decomposition of coherence matrix that was constructed based on the identified homogeneous pixels to perform phase optimization, and then only the interferometric phases with low noise and clear fringes are utilized to measure the goodness-of-fit. 30 Sentinel-1A images were applied to test the improved method of land subsidence monitoring in Beijing, China. The deformation results of different methods were cross verified and the area statistics of the study area were carried out. The results show that the maximum subsidence monitored by the improved method is located in Jinzhan Town with a maximum rate of −109 mm/yr. This improved method extracts more measurement points with accuracy ensured, which is proved to be an effective way to provide the high spatial density of deformation measurements. The land subsidence in this area is mainly caused by the excessive exploitation of groundwater resources. This research provides support for the prevention and control work of relevant departments.
format	article
author	Qian He Xin He Huifu Zhuang Rui Wang Jiawei Chen
author_facet	Qian He Xin He Huifu Zhuang Rui Wang Jiawei Chen
author_sort	Qian He
title	An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
title_short	An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
title_full	An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
title_fullStr	An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
title_full_unstemmed	An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry
title_sort	improved method for phase triangulation algorithm based on the coherence matrix eigen-decomposition in time-series sar interferometry
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/9a19d01a496e4111935fc989eca7ce50
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An Improved Method for Phase Triangulation Algorithm Based on the Coherence Matrix Eigen-Decomposition in Time-Series SAR Interferometry

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