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Super-resolution of sea surface temperature with convolutional neural network- and generative advers...

Super-resolution of sea surface temperature with convolutional neural network- and generative advers...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb47e9bff0e94a3ead7855f685bc6bf0

Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods

About this item

Full title

Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods

Publisher

London: IWA Publishing

Journal title

Journal of water and climate change, 2022-04, Vol.13 (4), p.1673-1683

Language

English

Formats

Publication information

Publisher

London: IWA Publishing

More information

Scope and Contents

Contents

In this paper, we perform the super-resolution of sea surface temperature data with the enhanced super-resolution generative adversarial network (ESRGAN), which is a deep neural network-based single-image super-resolution (SISR) method that uses a generative adversarial network (GAN). We generate high-quality super-resolution data with ESRGAN and w...

Alternative Titles

Full title

Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_eb47e9bff0e94a3ead7855f685bc6bf0

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb47e9bff0e94a3ead7855f685bc6bf0

Other Identifiers

ISSN

2040-2244

E-ISSN

2408-9354

DOI

10.2166/wcc.2022.291

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