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Remote sensing image dehazing using generative adversarial network with texture and color space enha...

Remote sensing image dehazing using generative adversarial network with texture and color space enha...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_074f9bec84284fd8ad9904a2bf56ebc1

Remote sensing image dehazing using generative adversarial network with texture and color space enhancement

About this item

Full title

Remote sensing image dehazing using generative adversarial network with texture and color space enhancement

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-05, Vol.14 (1), p.12382-19, Article 12382

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Remote sensing is gradually playing an important role in the detection of ground information. However, the quality of remote-sensing images has always suffered from unexpected natural conditions, such as intense haze phenomenon. Recently, convolutional neural networks (CNNs) have been applied to deal with dehazing problems, and some important findi...

Alternative Titles

Full title

Remote sensing image dehazing using generative adversarial network with texture and color space enhancement

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_074f9bec84284fd8ad9904a2bf56ebc1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_074f9bec84284fd8ad9904a2bf56ebc1

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-63259-6

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