Edge-preserving unscented Kalman filter for speckle reduction

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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Gorthi R. K. Sai Subrahmanyam, A. N. Rajagopalan, Rangarajan Aravind, Gerhard Rigoll
• Keywords: Computer Vision, ICPR 2008, Speckle Reduction Algorithm, Synthetic Aperture Radar, Unscented Kalman filter