Estimating Water Depth of Different Waterbodies Using Deep Learning Super Resolution from HJ-2 Satel...
Estimating Water Depth of Different Waterbodies Using Deep Learning Super Resolution from HJ-2 Satellite Hyperspectral 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
Hyperspectral remote sensing images offer a unique opportunity to quickly monitor water depth, but how to utilize the enriched spectral information and improve its spatial resolution remains a challenge. We proposed a water depth estimation framework to improve spatial resolution using deep learning and four inversion methods and verified the effec...
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Full title
Estimating Water Depth of Different Waterbodies Using Deep Learning Super Resolution from HJ-2 Satellite Hyperspectral Images
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TN_cdi_doaj_primary_oai_doaj_org_article_d042675850444e87ad52241e76c56a98
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d042675850444e87ad52241e76c56a98
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16234607
