@inproceedings{25e0e41679b741abb176e71ca63c6b2b,
title = "Edge-preserving unscented Kalman filter for speckle reduction",
abstract = "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.",
author = "Subrahmanyam, {G. R.K.S.} and Rajagopalan, {A. N.} and R. Aravind and Gerhard Rigoll",
year = "2008",
doi = "10.1109/icpr.2008.4761408",
language = "English",
isbn = "9781424421756",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2008 19th International Conference on Pattern Recognition, ICPR 2008",
}