Motion estimation on ocean satellite images by data assimilation in a wavelets reduced model

Abstract : This research concerns the issue of estimating surface motion from satellite images. The approach relies on a reduced model, obtained by Galerkin projection of dynamic equations on subspaces of velocity and image fields. The dynamics expresses the transport of image brightness and advection-diffusion of velocity. A data assimilation method is defined that assimilates image coefficients in the reduced model in order to estimate motion coefficients.
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https://hal.inria.fr/hal-00828048
Contributor : Nathalie Gaudechoux <>
Submitted on : Thursday, May 30, 2013 - 11:03:45 AM
Last modification on : Friday, May 25, 2018 - 12:02:03 PM
Long-term archiving on : Tuesday, September 3, 2013 - 10:10:41 AM

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  • HAL Id : hal-00828048, version 1

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Etienne Huot, Giuseppe Papari, Isabelle Herlin, Karim Drifi. Motion estimation on ocean satellite images by data assimilation in a wavelets reduced model. EGU - European Geosciences Union General Assembly, Apr 2013, Vienne, Austria. ⟨hal-00828048⟩

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