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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2024
License: CC BY
Data sources: Datacite
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Improving the effective resolution of satellite-derived SST data via deep learning methods: preliminary results on the application of CNNs and GANs

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 29 Jan 2024Publisher:Zenodo
Authors: Fanelli, Claudia;

doi: 10.5281/zenodo.10579986 , 10.5281/zenodo.10579985

Improving the effective resolution of satellite-derived SST data via deep learning methods: preliminary results on the application of CNNs and GANs

Abstract

GHRSST talk on 25 Jan. 2024 Dr Fanelli is working as a researcher at the Italian National Research Council | CNR · Institute of Marine Science ISMAR. In the past years, Claudia has been working on the development of operational products for marine monitoring through the use of satellite and in situ data, combined analysis of time series of observational products for the study of essential ocean variables and their impact on the climate and marine ecosystems Video of this GHRSST talk

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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