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InSAR Phase Unwrapping with the Constrained Nonlinear Least Squares Method

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Genetic and Evolutionary Computing (ICGEC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1107))

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Abstract

Interferogram phase unwrapping is one of the important data processing step in InSAR applications, however, it is affected by the high slope of terrain factors. In this paper, an improved constrained nonlinear least squares InSAR phase unwrapping method is proposed. First, we estimate the phase instantaneous frequency of the interferogram by the least squares method. Then, through the transformation between the phase instantaneous frequency and the phase gradient, we pre-estimate a phase gradient model considering terrain factors. Finally, using phase instantaneous frequency estimation (PIFE) model as the constraints of the nonlinear least squares phase, we propose the improved constrained nonlinear least squares (CNLS) phase unwrapping method. When compares with the other algorithms in the interferometric phase unwrapping experiments, the improved method is shown to be the most robust to noise caused by the terrain factors and to be the most suitable for phase unwrapping of the InSAR data in rugged and varied terrain regions.

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Acknowledgment

This work was supported by foundation of The National Natural Science Fund (41876202, 41774002); Natural Science Foundation of Shandong Province (ZR2017MD020).

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Authors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, China

    Xiaoqing Zhang & Yongguo Zheng

  2. Center of Information and Network, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, China

    Weike Liu

  3. College of Geomatics, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, China

    Zhiyong Wang

Authors
  1. Xiaoqing Zhang
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  2. Weike Liu
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  3. Yongguo Zheng
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  4. Zhiyong Wang
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Corresponding author

Correspondence to Weike Liu .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Jeng-Shyang Pan

  2. Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

    Yongquan Liang

  4. School of Computer Science, Engineering and Mathematics, Flinders University, Bedford Park, Australia

    Shu-Chuan Chu

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Zhang, X., Liu, W., Zheng, Y., Wang, Z. (2020). InSAR Phase Unwrapping with the Constrained Nonlinear Least Squares Method. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_58

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