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[CBM11] method for the retrieval of ocean vertical profiles using self-organizing maps and hidden Markov models - Application on Ocean Colour Satellite Image Inversion
Conférence Internationale avec comité de lecture : International Conference on Neural Computation Theory and Applications, October 2011, pp.316-321,Mots clés: Self Organising Maps; Hidden Markov Models; Inversion; Geophysical; Chlorophyll-A; Satellite imaging; Inversion.
Résumé:
This paper presents a statistical inversion method used to infer 3D data from 2D imaging. The methodology is based on a combination of the Self Organising Maps and the Hidden Markov Models. The Self-Organising Maps generate the typical situations of the emissions and the hidden states of the Hidden Markov Model. The method has been validated by inferring the oceanic vertical profiles of Chlorophyll-A based on sea-surface data.
Equipe:
msdma
Collaboration:
UPMC
BibTeX
| @inproceedings { | |||
| CBM11, | |||
| title | = | "{method for the retrieval of ocean vertical profiles using self-organizing maps and hidden Markov models - Application on Ocean Colour Satellite Image Inversion}", | |
| author | = | " A. Charantonis and J. Brajard and C. Moulin and F. Badran and S. Thiria ", | |
| booktitle | = | "{International Conference on Neural Computation Theory and Applications}", | |
| year | = | 2011, | |
| month | = | "October", | |
| pages | = | "316-321", | |
| } | |||
