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Data Assimilation of Satellite Images within an Oceanographic Circulation Model

Abstract : We tackle the problem of coupling a geophysical simulation model with data coming from image processing. It needs to define the image observation space and to design an operator to transform results from the image space to the model space. In this study, we use a shallow-water oceanographic circulation model developed at MHI. We propose a processing chain first based on an image processing step relying on a dedicated motion estimation operator, and then a data assimilation step of the estimated velocity. We illustrate the method on different results without and with assimilation.
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Contributor : Nathalie Gaudechoux Connect in order to contact the contributor
Submitted on : Wednesday, December 30, 2020 - 2:00:13 PM
Last modification on : Friday, January 21, 2022 - 3:17:09 AM
Long-term archiving on: : Wednesday, March 31, 2021 - 6:42:56 PM


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Etienne Huot, Till Isambert, Isabelle Herlin, Jean-Paul Berroir, Gennady K. Korotaev. Data Assimilation of Satellite Images within an Oceanographic Circulation Model. ICASSP 2006 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, Toulouse, France. pp.265-268, ⟨10.1109/ICASSP.2006.1660330⟩. ⟨inria-00604108⟩



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