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Conference Papers Year : 2013

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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Dates and versions

hal-00828048 , version 1 (30-05-2013)

Identifiers

  • HAL Id : hal-00828048 , version 1

Cite

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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