Skip to Main content Skip to Navigation
Poster communications

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, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : We explain here how to use Wasserstein distance in order to perform images data assimilation.
Document type :
Poster communications
Complete list of metadatas
https://hal.inria.fr/hal-01097190
Contributor : Nelson Feyeux <>
Submitted on : Friday, December 19, 2014 - 9:49:00 AM
Last modification on : Thursday, November 19, 2020 - 1:00:31 PM
Long-term archiving on: : Monday, March 23, 2015 - 5:33:22 PM

File

Vignette du document
poster_english.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01097190, version 1

Collections

CNRS | INRIA | INSMI | LJK | LJK_MAD | LJK_MAD_MOISE | TDS-MACS | UGA

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

503

Files downloads

212

 

Contact                    Legal Notice                    Personal Data