Improving phase unwrapping techniques by the use of nonlinear phase model

This paper presents a new efficient phase unwrapping algorithm for interferometric synthetic aperture radar (InSAR) phase images based on nonlinear phase model. Firstly, based on the analysis of statistical properties and signal characteristics of the interferometric phase, the concept of nonlinear...

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Bibliographic Details
Published inProceedings of 2011 IEEE CIE International Conference on Radar Vol. 1; pp. 406 - 410
Main Authors Wang Qingsong, Huang Haifeng, Yu Anxi, Dong Zhen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Accuracy
Analytical models
Computational modeling
Estimation
Frequency estimation
InSAR
nonlinear phase model
phase unwrapping
Synthetic aperture radar
Vectors
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Summary:This paper presents a new efficient phase unwrapping algorithm for interferometric synthetic aperture radar (InSAR) phase images based on nonlinear phase model. Firstly, based on the analysis of statistical properties and signal characteristics of the interferometric phase, the concept of nonlinear phase model is proposed. It uses the nonlinear phase model of reflecting the topographic outline to approximate the interferometric phase change appeared in the local window. The lower amplitude bound of principal vector is defined and its value acquire method be given, which can effectively and adaptively extract the nonlinear components of the phase. Secondly, the nonlinear phase model is introduced to phase unwrapping, which increased the reliability of integration path and the accuracy of phase gradient, and improved effectively the performance of phase unwrapping. Real data processing results demonstrate the validity of the proposed nonlinear phase model and its corresponding processing method.
ISBN:1424484448
9781424484447
ISSN:1097-5764
2640-7736
DOI:10.1109/CIE-Radar.2011.6159563