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A SAR imaging method based on generalized minimax-concave penalty

  • Zhonghao WeiEmail author
  • Bingchen Zhang
  • Yirong Wu
Letter
  • 19 Downloads

Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61571419).

Supplementary material

11432_2018_9464_MOESM1_ESM.pdf (274 kb)
A SAR Imaging Method Based on Generalized Minimax-Concave Penalty

References

  1. 1.
    Zhang B C, Hong W, Wu Y R. Sparse microwave imaging: principles and applications. Sci China Inf Sci, 2012, 55: 1722–1754MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Baraniuk R, Steeghs P. Compressive radar imaging. In: Proceedings of IEEE Radar Conference, Boston, 2007. 128–133Google Scholar
  3. 3.
    Fang J, Xu Z B, Zhang B C, et al. Fast compressed sensing SAR imaging based on approximated observation. IEEE J Sel Top Appl Earth Observations Remote Sens, 2014, 7: 352–363CrossRefGoogle Scholar
  4. 4.
    Bi H, Zhang B, Zhu X X, et al. Extended chirp scalingbaseband azimuth scaling-based azimuth-range decouple L1 regularization for TOPS SAR imaging via CAMP. IEEE Trans Geosci Remote Sens, 2017, 55: 3748–3763CrossRefGoogle Scholar
  5. 5.
    Quan X Y, Zhang B C, Wang Z D, et al. An efficient data compression technique based on BPDN for scattered fields from complex targets. Sci China Inf Sci, 2017, 60: 109302CrossRefGoogle Scholar
  6. 6.
    Candes E, Tao T. The Dantzig selector: statistical estimation when p is much larger than n. Ann Stat, 2007, 35: 2313–2351MathSciNetCrossRefzbMATHGoogle Scholar
  7. 7.
    Selesnick I. Sparse regularization via convex analysis. IEEE Trans Signal Process, 2017, 65: 4481–4494MathSciNetCrossRefGoogle Scholar
  8. 8.
    Bauschke H H, Combettes P L. Convex Analysis and Monotone Operator Theory in Hilbert Spaces. New York: Springer, 2011CrossRefzbMATHGoogle Scholar
  9. 9.
    Naidu K. Data dome: full k-space sampling data for high-frequency radar research. Proc SPIE Int Soc Opt Eng, 2004, 5427: 200–207Google Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.University of Chinese Academy of SciencesBeijingChina
  2. 2.Key Laboratory of Technology in Geospatial Information Processing and Application Systems, Institute of ElectronicsChinese Academy of SciencesBeijingChina
  3. 3.Institute of ElectronicsChinese Academy of SciencesBeijingChina

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