An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elev...
An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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The scale of digital elevation models (DEMs) is vital for terrain analysis, surface simulation, and other geographic applications. Compared to traditional super-resolution (SR) methods, deep convolutional neural networks (CNNs) have shown great success in DEM SR. However, in terms of these CNN-based SR methods, the features extracted by the stackab...
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Full title
An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution
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TN_cdi_doaj_primary_oai_doaj_org_article_55c4fb154c0144ac9bc575f4f01a9d6e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_55c4fb154c0144ac9bc575f4f01a9d6e
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs15041038
