Improvement of Spatio-Temporal Three-Dimensional Phase Unwrapping Algorithm

YU Jie; WANG Shaohua; JIAO Shuai; ZHU Lin; CHANG Zhanqiang; CHEN Mi

doi:10.13203/j.whugis20170414

Volume 44 Issue 9

Sep. 2019

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Geomatics and Information Science of Wuhan University > 2019 > 44(9): 1355-1362. > DOI: 10.13203/j.whugis20170414

YU Jie, WANG Shaohua, JIAO Shuai, ZHU Lin, CHANG Zhanqiang, CHEN Mi. Improvement of Spatio-Temporal Three-Dimensional Phase Unwrapping Algorithm[J]. Geomatics and Information Science of Wuhan University, 2019, 44(9): 1355-1362. DOI: 10.13203/j.whugis20170414

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Improvement of Spatio-Temporal Three-Dimensional Phase Unwrapping Algorithm

YU Jie^{1, 3, 4, 5,},
WANG Shaohua^{2, 5},
JIAO Shuai⁵,
ZHU Lin^{1, 4, 5},
CHANG Zhanqiang^{3, 4, 5},
CHEN Mi^{1, 3, 5}

1.
State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China
2.
Beijing GEOWAY Software Co. Ltd, Beijing 100048, China
3.
Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
4.
Beijing Key Laboratory of Resources Environment and Geographic Information System, Capital Normal University, Beijing 100048, China
5.
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

Funds:

The National Natural Science Foundation of China 41671417

Technological Innovation Service Capacity Building Fundamental Research Funds (Scientific Research) 025185305000/191

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Author Bio:
YU Jie, PhD, professor, specializes in the processing and application of remote sensing imagery and spatial data analysis. E-mail:yuj2011@whu.edu.cn
Received Date: July 18, 2018
Published Date: September 04, 2019

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Abstract

Abstract

Three-dimensional phase unwrapping is one of the key steps of time-series interferometric synthetic aperture radar (InSAR) technology. The unwrapping results directly affect the accuracy of time-series InSAR land subsidence monitoring. Aiming at the problem of the whole period unwrapping error caused by phase undersampling in areas with serious land subsidence and large change of terrain slope, a weighted least squares phase unwrapping algorithm based on frequency confidence is proposed, which replaces the weighted least squares phase unwrapping algorithm based on phase gradient in the time-dependent three-dimensional phase. By improving the accuracy of phase slope change estimation, the accuracy and stability of spatio-temporal three-dimensional phase unwrapping can be improved. The land subsidence results of the typical area in Beijing are obtained by using the improved spatio-temporal three-dimensional phase unwrapping method. Compared with the classical spatio-temporal three-dimensional phase unwrapping method, the improved method can obtain higher accuracy of land subsidence monitoring results. Especially for the subsidence funnel region where the slope changes greatly and the decorrelation exists obviously, the subsidence monitoring accuracy has improved significantly.

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References (22)

References

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