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Interferogram noise reduction algorithm base on maximum A Posteriori estimate

  • Published:
Journal of Electronics (China)

Abstract

Interferogram noise reduction is a very important processing step in Interferometric Synthetic Aperture Radar (InSAR) technique. The most difficulty for this step is to remove the noises and preserve the fringes simultaneously. To solve the dilemma, a new interferogram noise reduction algorithm based on the Maximum A Posteriori (MAP) estimate is introduced in this paper. The algorithm is solved under the Total Generalized Variation (TGV) minimization assumption, which exploits the phase characteristics up to the second order differentiation. The ideal noise-free phase consisting of piecewise smooth areas is involved in this assumption, which is coincident with the natural terrain. In order to overcome the phase wraparound effect, complex plane filter is utilized in this algorithm. The simulation and real data experiments show the algorithm can reduce the noises effectively and meanwhile preserve the interferogram fringes very well.

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Authors and Affiliations

  1. Institute of Electronics, Chinese Academy of Sciences, Beijing, 100190, China

    Gang Liu, Wensen Feng, Runpu Chen & Yunfeng Shao

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Gang Liu, Wensen Feng, Runpu Chen & Yunfeng Shao

Authors
  1. Gang Liu
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  2. Wensen Feng
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  3. Runpu Chen
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  4. Yunfeng Shao
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Corresponding author

Correspondence to Gang Liu.

Additional information

Communication author: Liu Gang, born in 1986, male, Ph.D. Candidate.

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Liu, G., Feng, W., Chen, R. et al. Interferogram noise reduction algorithm base on maximum A Posteriori estimate. J. Electron.(China) 31, 200–207 (2014). https://doi.org/10.1007/s11767-014-4076-8

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  • DOI: https://doi.org/10.1007/s11767-014-4076-8

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