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A novel iterative soft thresholding algorithm for L1 regularization based SAR image enhancement

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References

  1. Curlander J, Mcdonough R. Synthetic Aperture Radar: System and Signal Processing. New York: Wiley, 1991

    MATH  Google Scholar 

  2. Raney R K, Runge H, Bamler R, et al. Precision SAR processing using chirp scaling. IEEE Trans Geosci Remote Sens, 1994, 32: 786–799

    Article  Google Scholar 

  3. Cetin M, Karl W C. Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization. IEEE Trans Image Process, 2001, 10: 623–631

    Article  Google Scholar 

  4. Patel V M, Easley G R, Healy D M, et al. Compressed synthetic aperture radar. IEEE J Sel Top Signal Process, 2010, 4: 244–254

    Article  Google Scholar 

  5. Zhang B C, Hong W, Wu Y R. Sparse microwave imaging: principles and applications. Sci China Inf Sci, 2012, 55: 1722–1754

    Article  MathSciNet  Google Scholar 

  6. Bi H, Zhang B, Zhu X X, et al. L1-regularization-based SAR imaging and CFAR detection via complex approximated message passing. IEEE Trans Geosci Remote Sens, 2017, 55: 3426–3440

    Article  Google Scholar 

  7. Zhang B, Hong W, Bi H, et al. Lq regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm. Electron Lett, 2016, 52: 1336–1338

    Article  Google Scholar 

  8. Bi H, Bi G, Zhang B, et al. Complex-image-based sparse SAR imaging and its equivalence. IEEE Trans Geosci Remote Sens, 2018, 56: 5006–5014

    Article  Google Scholar 

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Acknowledgements

This work was supported in part by Project of Temasek Laboratories@NTU and Scientific Research Starting Foundation of Nanjing University of Aeronautics and Astronautics (Grant No. 1004- YAH19009). We would like to thank Professor Jinpin SUN from Beihang University for providing the TerraSAR complex image data.

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Correspondence to Guoan Bi.

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Bi, H., Bi, G. A novel iterative soft thresholding algorithm for L1 regularization based SAR image enhancement. Sci. China Inf. Sci. 62, 49303 (2019). https://doi.org/10.1007/s11432-018-9662-y

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  • DOI: https://doi.org/10.1007/s11432-018-9662-y

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