Data/hora: 09/06/2024 06:31:39

Provedor de dados: | 5
País: | France
Título: | Interpolation par assimilation variationnelle de séquences multimodales d’images satellitaires de l’océan
Autores: | Ba, Sileye O.; Corpetti, Thomas; Chapron, Bertrand; Fablet, Ronan.
Data: | 2012
Ano: | 2012
Palavras-chave: | Assimilation variationnelle de données; Interpolation de données manquantes; Inpainting.; Data assimilation; Variational method; Missing data interpolation; Geophysical tracers dynamics; Multimodal interpolation.
Resumo: | In this paper we address the problem of missing data interpolation in multi-modal geophysical satellite observation sequences. Main issues relate to the large percentage of missing data, from 20 % to 90 % for daily high-resolution observations; and the requirement for reconstructing fine-scale structures in accordance with the underlying turbulent dynamics. To solve the missing data interpolation problem, a variational data assimilation model is developped. Using synthetic and real ocean surface observations, numerical and qualitative evaluations demonstrate the relevance of two key components of the proposed model: the fusion of multi-modal observations through a geometric front-driven constraint and the proposed variational assimilation setting using an advection-diffusion dynamical prior Good reconstruction of high-resolution geophysical observation sequences can then be achieved despite high percentage of missing data.
Tipo: | Text
Idioma: | Francês

Identificador:

http://archimer.ifremer.fr/doc/00139/24980/23061.pdf

DOI:10.3166/TS.29.433-454

http://archimer.ifremer.fr/doc/00139/24980/

Editor: | Presses Univ Grenoble
Formato: | application/pdf
Fonte: | Traitement Du Signal (0765-0019) (Presses Univ Grenoble), 2012 , Vol. 29 , N. 3-5 , P. 433-454

Fonte:

2012 Lavoisier

info:eu-repo/semantics/openAccess

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