Optimal transport for data assimilation

Nelson Feyeux 1 Arthur Vidard 1 Maëlle Nodet 1
1 AIRSEA - Mathematics and computing applied to oceanic and atmospheric flows
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble
Abstract : Applying optimal transport to data assimilation can be natural in the case where data are images for example. Indeed, optimal transport theory introduces the so-called Wasserstein distance which can be useful to compare images, and it may be more natural than using classical euclidean distances. The interesting points, as well as the methodology, the technical difficulties and some results of applying optimal transport to data assimilation are presented here.
Type de document :
Communication dans un congrès
Workshop transport optimal : théorie et applications, Oct 2015, Bordeaux, France. 2015
Liste complète des métadonnées

https://hal.inria.fr/hal-01251809
Contributeur : Nelson Feyeux <>
Soumis le : mardi 12 janvier 2016 - 09:31:08
Dernière modification le : mercredi 11 avril 2018 - 01:59:31

Annexe

Identifiants

  • HAL Id : hal-01251809, version 1

Collections

Citation

Nelson Feyeux, Arthur Vidard, Maëlle Nodet. Optimal transport for data assimilation. Workshop transport optimal : théorie et applications, Oct 2015, Bordeaux, France. 2015. 〈hal-01251809〉

Partager

Métriques

Consultations de la notice

693

Téléchargements de fichiers

110