Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI-Reference-Cited by-同舟云学术

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Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI

Published:2021-09 Issue: Volume:263 Page:112553
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Aires Filipe,Boucher Eulalie,Pellet Victor

Funder

European Organization for the Exploitation of Meteorological Satellites

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference54 articles.

1. Role of Non-Linear Data Processing on Speech Recognition Task in the Framework of Reservoir Computing;Abreu Araujo,2020

2. Sampling techniques in high-dimensional spaces for the development of satellite remote sensing database;Aires;J. Geophys. Res.-Atmos.,2007

3. The “Weight Smoothing” regularization of MLP for jacobian stabilization;Aires;IEEE Trans. Neural Netw.,1999

4. A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations;Aires;J. Geophys. Res. Atmos. (1984–2012),2001

5. A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument;Aires;J. Appl. Meteorol.,2002

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