Edge-preserving unscented Kalman filter for speckle reduction
G.R.K.S. Subrahmanyam, Ambasamudram Narayanan Rajagopalan, Rangarajan Aravind, Gerhard Rigoll · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2008
We propose a recursive spatial-domain speckle reduction algorithm for synthetic aperture radar (SAR) imagery based on the unscented Kalman filter (UKF) with a discontinuity-adaptive Markov random field (DAMRF) prior. The capability of the UKF in handling speckle noise and the feature preservation ability of the DAMRF model are explored within a unified framework through importance sampling.