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Coupling a Neural Network-Based forward Model and a Bayesian Inversion Approach to Retrieve Wind Field from Spaceborne Polarimetric Radiometers

A simulation study to assess the potentiality of sea surface wind vector estimation based on the approximation of the forward model through Neural Networks and on the Bayesian theory of parameter estimation is presented. A polarimetric microwave radiometer has been considered and its observations ha...

詳細記述

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書誌詳細
主要な著者: Pulvirenti, Luca, Pierdicca, Nazzareno, Marzano, Frank S.
フォーマット: Artigo
言語:Inglês
出版事項: Molecular Diversity Preservation International (MDPI) 2008
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3790993/
https://ncbi.nlm.nih.gov/pubmed/27873962
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s8127850
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