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- W5116624 abstract "This paper proposes a novel multi-scale fluid flow data assimilation approach, which integrates and complements the advantages of a Bayesian sequential assimilation technique, the Weighted Ensemble Kalman filter (WEnKF) [12], and an improved multiscale stochastic formulation of the Lucas-Kanade (LK) estimator. The proposed scheme enables to enforce a physically plausible dynamical consistency of the estimated motion fields along the image sequence." @default.
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- W5116624 date "2012-01-01" @default.
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- W5116624 title "Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation" @default.
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- W5116624 doi "https://doi.org/10.1007/978-3-642-24785-9_63" @default.
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