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DOI	10.1109/TGRS.2021.3050087
	A New Decorrelation Phase Covariance Model for Noise Reduction in Unwrapped Interferometric Phase Stacks
	Zheng, Yujie; Zebker, Howard; Michaelides, Roger
通讯作者	Zheng, YJ (corresponding author), Stanford Univ, Dept Geophys, Stanford, CA 94305 USA. ; Zheng, YJ (corresponding author), CALTECH, Pasadena, CA 91125 USA.
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2021
卷号	59 期号:12 页码:10126-10135
英文摘要	The accuracy of geophysical parameter estimation made with interferometric synthetic aperture radar (InSAR) time-series techniques can be improved with rapidly increasing available data volumes and with the development of noise covariance matrices applicable to joint analysis of networks of interferograms. In this article, we present a new decorrelation phase covariance model and discuss its role in noise reduction in unwrapped interferometric phase stacks. We demonstrate with an example in which we average unwrapped interferogram phase stacks that span over a transient event how a noise covariance model can aid in noise reduction. Our model suggests that, for rapidly decorrelating surfaces (i.e., surfaces with much shorter correlation time than SAR acquisition intervals), it is preferable to incorporate all available interferograms from long observation windows. For slowly decorrelating surfaces (i.e., surfaces with longer correlation time than SAR acquisition intervals), our model suggests that a small subset of interferometric pairs is sufficient. We validate our model and three existing models of decorrelation phase covariance matrices in both Cascadia, a region with heavy vegetation cover, and Death Valley, a desert region with C-band Sentinel-1 A observations. Our proposed model matches observations with the smallest average discrepancy between theory and observations.
英文关键词	Decorrelation Atmospheric modeling Synthetic aperture radar Mathematical model Correlation Geophysical measurements Radar measurements Covariance matrix decorrelation noise interferometric synthetic aperture radar (InSAR) noise reduction
类型	Article
语种	英语
开放获取类型	Green Accepted
收录类别	SCI-E
WOS记录号	WOS:000722170500028
WOS关键词	APERTURE RADAR INTERFEROMETRY ; INTERSEISMIC STRAIN ; SURFACE DEFORMATION ; STATISTICS ; FAULT
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374050
作者单位	[Zheng, Yujie; Zebker, Howard; Michaelides, Roger] Stanford Univ, Dept Geophys, Stanford, CA 94305 USA; [Zheng, Yujie] CALTECH, Pasadena, CA 91125 USA; [Michaelides, Roger] Colorado Sch Mines, Golden, CO 80401 USA
推荐引用方式 GB/T 7714	Zheng, Yujie,Zebker, Howard,Michaelides, Roger. A New Decorrelation Phase Covariance Model for Noise Reduction in Unwrapped Interferometric Phase Stacks[J],2021,59(12):10126-10135.
APA	Zheng, Yujie,Zebker, Howard,&Michaelides, Roger.(2021).A New Decorrelation Phase Covariance Model for Noise Reduction in Unwrapped Interferometric Phase Stacks.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,59(12),10126-10135.
MLA	Zheng, Yujie,et al."A New Decorrelation Phase Covariance Model for Noise Reduction in Unwrapped Interferometric Phase Stacks".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 59.12(2021):10126-10135.