Nonparametric Estimation of DEM Error in Multitemporal InSAR

doi:10.1109/TGRS.2019.2930802

	Nonparametric Estimation of DEM Error in Multitemporal InSAR
	Liang, Hongyu 1; Zhang, Lei 1,2; Lu, Zhong 3; Li, Xin 4
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2019-12-01
卷号	57 期号:12 页码:10004-10014
关键词	Strain Synthetic aperture radar Atmospheric modeling Estimation Matrix decomposition Digital elevation models Deformable models Digital elevation model (DEM) error independent component analysis (ICA) interferometric synthetic aperture radar (InSAR)
ISSN号	0196-2892
DOI	10.1109/TGRS.2019.2930802
通讯作者	Zhang, Lei(lslzhang@hku.hk)
英文摘要	Isolating phase residuals due to inaccurate external digital elevation model (DEM) is important in retrieval and interpretation of deformation behavior from interferometric synthetic aperture radar (InSAR) observations. Multitemporal InSAR (MTInSAR), by taking DEM error as a parameter, can make the isolation possible. However, due to the presence of atmospheric artifacts in observations and improper deformation model employed in the observation system, accurate retrieval of DEM error cannot be guaranteed in current MTInSAR techniques. Considering that the DEM error has a fixed spatial pattern and its contribution to interferometric phase-only changes with spatial baselines, we propose here a nonparametric method that can estimate the DEM error in a more robust way. To retrieve signals having a fixed spatial pattern from unwrapped MTInSAR measurements, the independent component analysis (ICA) is used. Experiments with synthetic and real data sets indicate the proposed method is able to estimate DEM error with no a priori information about deformation. Moreover, experiments also show that the method can provide a more robust estimation when the observed phase observations are affected by atmospheric delays and/or the number of interferograms used is limited.
资助项目	National Natural Science Foundation of China[41774023] ; National Natural Science Foundation of China[41304011] ; Research Grants Council of Hong Kong[PolyU 152214/14E] ; Research Grants Council of Hong Kong[152043/14E]
WOS关键词	INDEPENDENT COMPONENT ANALYSIS ; TIME-SERIES ; DEFORMATION ; SCATTERERS ; ALGORITHMS ; MODEL
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000505701800038
资助机构	National Natural Science Foundation of China ; Research Grants Council of Hong Kong
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/131630]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Lei
作者单位	1.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China 2.Univ Hong Kong, Fac Architecture, Hong Kong, Peoples R China 3.South Methodist Univ, Dept Earth Sci, Dallas, TX 75275 USA 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Liang, Hongyu,Zhang, Lei,Lu, Zhong,et al. Nonparametric Estimation of DEM Error in Multitemporal InSAR[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2019,57(12):10004-10014.
APA	Liang, Hongyu,Zhang, Lei,Lu, Zhong,&Li, Xin.(2019).Nonparametric Estimation of DEM Error in Multitemporal InSAR.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(12),10004-10014.
MLA	Liang, Hongyu,et al."Nonparametric Estimation of DEM Error in Multitemporal InSAR".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.12(2019):10004-10014.