Concrete Autoencoder for the Reconstruction of Sea Temperature Field from Sparse Measurements

Concrete Autoencoder for the Reconstruction of Sea Temperature Field from Sparse Measurements

This paper presents a new method for finding the optimal positions for sensors used to reconstruct geophysical fields from sparse measurements. The method is composed of two stages. In the first stage, we estimate the spatial variability of the physical field by approximating its information entropy...

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Bibliographic Details
Main Authors: Alexander A. Lobashev, Nikita A. Turko, Konstantin V. Ushakov, Maxim N. Kaurkin, Rashit A. Ibrayev
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Marine Science and Engineering
Subjects:
concrete autoencoder
optimal sensor placement
information entropy
ocean state reconstruction
mutual information
sensitivity
Online Access:https://www.mdpi.com/2077-1312/11/2/404

Internet

https://www.mdpi.com/2077-1312/11/2/404

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