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L1-Norm Method for Dual-Wavelength Phase Unwrapping

  • Guoqi ChengEmail author
  • Jixian Zhang
  • Huan Chen
  • Jiaqi Chen
  • Lijun Lu
Conference paper
  • 16 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 657)

Abstract

According to the relationship between the absolute phase and the baseline in multiple baselines, the relationship between the absolute phase and the band in the multi-band is designed analogously. This method constructs the equation that the wavelength and the absolute phase are positively correlated with the phase relationship of any pixel in different band images. Using the equivalence relation, two inequalities of adjacent pixels are constructed, the gradient information is obtained, the ambiguity is minimized, and the phase unwrapped 2π fuzzy number is obtained. This method avoids the limitation of the Itoh hypothesis. In this paper, two experiments are designed with two wavelengths. The results effectively improve the unwrapping ability of the phase inconsistent region compared with single wave unwrapping, which proves the feasibility of this analogy method.

Keywords

L1-norm The gradient information Dual-wavelength Incoherent 

Notes

Acknowledgements

Foundation items: The National Key Research and Development Program of China, No. 2018YFF0215303, 2017YFB0503004; Chinese Academy of Surveying and Mapping Fundamental Research Project under Grant, No. 7771808.

References

  1. 1.
    Pingxiang L, Jie Y (2006) Synthetic aperture radar interferometry principle and application, vol 12. The Mapping Publishing Company, Beijing, pp 62–70Google Scholar
  2. 2.
  3. 3.
    Ni NA (2016) Phase unwrapping based on path-following and two-wavelength interferometry. Anhui University, pp 32–43Google Scholar
  4. 4.
    Huayou L, Mingjie Z, Heng Z et al (2018) An effective method of airborne dual-frequency interferometric terrain elevation reconstruction. J Radars 7(4):475–486Google Scholar
  5. 5.
    Khmaladze A, Matz RL, Zhang C, Wang T, Banaszak Holl MM, Chen Z (2011) Dual-wavelength linear regression phase unwrapping in three-dimensional microscopic images of cancer cells. Opt Lett 36(6):912CrossRefGoogle Scholar
  6. 6.
    Mingsheng L, Hui L (2003) Synthetic aperture radar interferometry-principle and signal processing, vol 8. The Mapping Publishing Company, Beijing, pp 106–111Google Scholar
  7. 7.
    Ghiglia DC, Romero LA (1996) Minimum Lp-norm two-dimensional phase unwrapping. J Opt Soc Am A 13(10):1999CrossRefGoogle Scholar
  8. 8.
    Hanwen Y, Zheng B (2013) L1-norm method for multi-baseline InSAR phase unwrapping. J XiDian Univ 40(04):37–41Google Scholar
  9. 9.
    Yu H, Lan Y (2016) Robust two-dimensional phase unwrapping for multi-baseline SAR interferograms: A two-stage programming approach. IEEE Trans Geosci Remote Sens 54(9):5217–5225CrossRefGoogle Scholar
  10. 10.
    Jin G, Zhang H, Xu Q et al (2011) Phase unwrapping algorithm with CRT for multi-band InSAR. J Xidian Univ 38(6):97–102Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Guoqi Cheng
    • 1
    • 2
    Email author
  • Jixian Zhang
    • 1
    • 3
  • Huan Chen
    • 1
    • 2
  • Jiaqi Chen
    • 1
    • 2
  • Lijun Lu
    • 2
  1. 1.Shandong University of Science and TechnologyQingdaoChina
  2. 2.Key Laboratory of Geo-Informatics of State Bureau of Surveying and MappingChinese Academy of Surveying and MappingBeijingChina
  3. 3.National Quality Inspection and Testing Center for Surveying and Mapping ProductsBeijingChina

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