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Volume 26 Issue 6
Jun.  2000
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Journal of Beijing University of Aeronautics and Astronautics  > 2000  >  26(6): 640-643.
WANG Guo-dong, ZHOU Yin-qing, LI Chun-shenget al. SAR Bayesian SuperResolution Algorithm with a Correction of Perturbed Point Spread Function[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(6): 640-643. (in Chinese)
Citation: WANG Guo-dong, ZHOU Yin-qing, LI Chun-shenget al. SAR Bayesian SuperResolution Algorithm with a Correction of Perturbed Point Spread Function[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(6): 640-643. (in Chinese)
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SAR Bayesian SuperResolution Algorithm with a Correction of Perturbed Point Spread Function

  • Beijing University of Aeronautics and Astronautics, Dept.of Electronic Engineering

  • Received Date: 12 Aug 1999
  • Publish Date: 30 Jun 2000
    Abstract
  • According to Bayesian formulation,an estimate-maximise (EM) algorithm of SAR super-resolution is presented for reconstructing radar cross sections from SAR images.The algorithm incorporates successfully the prior knowledge about the image scene into image reconstruction,which can effectively improve classical resolution of SAR image.Furthermore,the algorithm can limit the effects of perturbed point spread function (PSF) by using a parameterized model and estimating model parameters.Combining two methods,the algorithm can realize SAR super-resolution with effect.The key of the algorithm is to construct a reasonable PSF model,which can fit SAR image data and collateral SAR imaging system parameters information simultaneously.

     

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  • [1] Demoment G.Image reconstruction and restoration:overview of common estimation structures and problems[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1989,37(12):2024~2036. [2]Oliver C,Quegan S.Understanding synthetic aperture radar images[M].1st ed. London:Artech House,1998.307~315. [3]Delves L M,Pryde G C,Luttrell S P.A super-resolution algorithm for SAR images[J].Inverse Problems,1988,14:681~703. [4]Luttrell S P,Oliver C J.Prior knowledge in synthetic aperture radar processing[J].J　Phys　D:Appl　Phys,1986,19:333~356. [5]Luttrell S P.Prior knowledge and resolution enhancement using the best linear estimate technique[J].Opt　Acta,1985,32:703~716. [6]Luttrell S P.A bayesian derivation of an iterative autofocus/super-resolution algorithm[J].Inverse Problems,1990,16:975~996.
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