论文信息 - Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion

Inverse Method for the Retrieval of Ocean Vertical Profiles using Self Organizing Maps and Hidden Markov Models - Application on Ocean Colour Satellite Image Inversion

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 SelfOrganising 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.

[1] Eric Moulines,et al. Inference in hidden Markov models , 2010, Springer series in statistics.

[2] P. Brasseur,et al. Understanding the interannual variability of the oceanic carbon cycle: Results from the coupled biogeochemical-physical global model PISCES-NEMO , 2008 .

[3] Haikady N. Nagaraja,et al. Inference in Hidden Markov Models , 2006, Technometrics.

[4] H. Claustre,et al. Vertical distribution of phytoplankton communities in open ocean: An assessment based on surface chlorophyll , 2006 .

[5] Eric Moulines,et al. Inference in Hidden Markov Models (Springer Series in Statistics) , 2005 .

[6] G. R. Nudd,et al. The Viterbi Algorithm , 1993 .

[7] L. Baum,et al. A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains , 1970 .

[8] S. Thiria,et al. Inversion of satellite ocean colour imagery and geoacoustic characterization of seabed properties: Variational data inversion using a semi-automatic adjoint approach , 2008 .

[9] Van Nostrand,et al. Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm , 1967 .