A Recursive Filter for Despeckling SAR Images
G. R. K. S. Subrahmanyam, Ambasamudram Narayanan Rajagopalan, Rangarajan Aravind · IEEE Transactions on Image Processing · 2008
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.