SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Im...
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The production of highly accurate land cover maps is one of the primary challenges in remote sensing, which depends on the spatial resolution of the input images. Sometimes, high-resolution imagery is not available or is too expensive to cover large areas or to perform multitemporal analysis. In this context, we propose a multi-task network to take...
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Full title
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images
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TN_cdi_doaj_primary_oai_doaj_org_article_58f3b0924b1a486ea8848ddc33df44a7
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_58f3b0924b1a486ea8848ddc33df44a7
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14225862
