Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images
Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images
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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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Contents
Previously, generative adversarial networks (GAN) have been widely applied on super resolution reconstruction (SRR) methods, which turn low-resolution (LR) images into high-resolution (HR) ones. However, as these methods recover high frequency information with what they observed from the other images, they tend to produce artifacts when processing...
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Full title
Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e8f3dca42717435b9955313367ff051d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e8f3dca42717435b9955313367ff051d
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13061104
