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A Recursive Filter for Despeckling SAR Images

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3 Author(s)
G. R. K. S. Subrahmanyam ; Dept. of Electr. Eng., IIT Madras, Chennai ; A. N. Rajagopalan ; R. Aravind

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.

Published in:

IEEE Transactions on Image Processing  (Volume:17 ,  Issue: 10 )