TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images
TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Remote Sensing (RS) images are usually captured at resolutions lower than those required. Deep Learning (DL)-based super-resolution (SR) architectures are typically used to increase the resolution artificially. In this study, we designed a new architecture called TESR (Two-stage approach for Enhancement and super-resolution), leveraging the power o...
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Full title
TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images
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TN_cdi_doaj_primary_oai_doaj_org_article_7e03b3c27f8442de9403ac77b1899fba
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e03b3c27f8442de9403ac77b1899fba
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15092346
