Combined IASI-NG and MWS Observations for the Retrieval of Cloud Liquid and Ice Water Path: A Deep Learning Artificial Intelligence Approach-Reference-Cited by-同舟云学术

Combined IASI-NG and MWS Observations for the Retrieval of Cloud Liquid and Ice Water Path: A Deep Learning Artificial Intelligence Approach

Published:2022 Issue: Volume:15 Page:3313-3322
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Mastro Pietro¹^ORCID,Masiello Guido¹^ORCID,Serio Carmine¹^ORCID,Cimini Domenico²^ORCID,Ricciardelli Elisabetta²,Paola Francesco Di²^ORCID,Hultberg Tim³,August Thomas³^ORCID,Romano Filomena²^ORCID

Affiliation:

1. School of Engineering, University of Basilicata, Potenza, Italy

2. Institute of Methodologies for Environmental Analysis, Italian National Research Council, Tito Scalo, Italy

3. European Organisation for the Exploitation of Metereological Satellites, Darmstadt, Germany

Funder

Framework of the ComboCloud

European Organization for the Exploitation of Meteorological Satellites

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09756279.pdf?arnumber=9756279

Reference47 articles.

1. Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping;caruana;Advances in Neural Information Processing Systems 13,2020

2. Principal component analysis: a review and recent developments

3. Keras tuner;o'malley,2019

4. Keras;chollet,2015

5. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

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