A Recursive Filter for Despeckling SAR Images

  • Authors:
  • G. R.K.S. Subrahmanyam;A. N. Rajagopalan;R. Aravind

  • Affiliations:
  • Dept. of Electr. Eng., IIT Madras, Chennai;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2008

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Abstract

This correspondence proposes a recursive algorithm for noise reduction in synthetic aperture radar imagery. Excellent despeckling in conjunction with feature preservation is achieved by incorporating a discontinuity-adaptive Markov random field prior within the unscented Kalman filter framework through importance sampling. The performance of this method is demonstrated on both synthetic and real examples.