Application of optimal transport to data assimilation

Nelson Feyeux 1 Maëlle Nodet 1 Arthur Vidard 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We explain here how to use Wasserstein distance in order to perform images data assimilation.
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Poster communications
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https://hal.inria.fr/hal-01097190
Contributor : Nelson Feyeux <>
Submitted on : Friday, December 19, 2014 - 9:49:00 AM
Last modification on : Wednesday, April 11, 2018 - 1:58:40 AM
Long-term archiving on: Monday, March 23, 2015 - 5:33:22 PM

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Nelson Feyeux, Maëlle Nodet, Arthur Vidard. Application of optimal transport to data assimilation. Special semester on new trends in calculus of variation, Dec 2014, Linz, Austria. ⟨hal-01097190⟩

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