Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network
Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The degradation of visual quality in remote sensing images caused by haze presents significant challenges in interpreting and extracting essential information. To effectively mitigate the impact of haze on image quality, we propose an unsupervised generative adversarial network specifically designed for remote sensing image dehazing. This network i...
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Full title
Remote Sensing Image Dehazing through an Unsupervised Generative Adversarial Network
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_20656985faf24744a206103e12579f89
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20656985faf24744a206103e12579f89
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23177484
