Estimation of Atmospheric Phase Contributions Using Smoothing Spline in Persistent Scatterers Radar Interferometry

WU Wenhao; LI Tao; LONG Sichun

doi:10.13203/j.whugis20140346

Volume 42 Issue 10

Oct. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(10): 1394-1399. > DOI: 10.13203/j.whugis20140346

WU Wenhao, LI Tao, LONG Sichun. Estimation of Atmospheric Phase Contributions Using Smoothing Spline in Persistent Scatterers Radar Interferometry[J]. Geomatics and Information Science of Wuhan University, 2017, 42(10): 1394-1399. DOI: 10.13203/j.whugis20140346

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Estimation of Atmospheric Phase Contributions Using Smoothing Spline in Persistent Scatterers Radar Interferometry

WU Wenhao^{1, 2,},
LI Tao²,
LONG Sichun¹

1.
Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection, Hunan University of Science and Technology, Xiangtan 411210, China
2.
GNSS Research Center, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41474014

The National Natural Science Foundation of China 41674032

The National Natural Science Foundation of China 41274048

the Open Research Fund Program of Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection E21502

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Author Bio:
WU Wenhao, PhD, specializes in the methods and application of InSAR. E-mail:wuwh@whu.edu.cn
Received Date: March 23, 2017
Published Date: October 04, 2017

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Abstract

Abstract

The PSInSAR technique can achieve separation of PS phase components, by extracting the time-dimensional PS points based on various temporal and spatial statistical properties to get high-precision, surface deformation monitoring results. As the main error source in InSAR, atmospheric signals can be isolated from the other components of the residual phase by classical filters in the spatial and temporal domains. Optionally, after 3D unwrapping, high-pass filtering can be applied to unwrapped data in time followed by a low-pass filter in space in order to remove the remaining spatial correlated errors (atmosphere and orbit errors). Thus, when the deformation rate is large, the spectrum of various contributing factors will overlap, and the classic filter is powerless. This paper proposes methodologies which can automatically choose a smoothing parameter based on a fast robust version of a discrete smoothing spline instead of classic filter to effectively separate the phase components.
- PSInSAR,
- smoothing spline,
- information separation,
- atmospheric phase screen,
- surface deformation

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References

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