Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning
Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Through the Synthetic Aperture Radar (SAR) embarked on the satellites Sentinel-1A and Sentinel-1B of the Copernicus program, a large quantity of observations is routinely acquired over the oceans. A wide range of features from both oceanic (e.g., biological slicks, icebergs, etc.) and meteorologic origin (e.g., rain cells, wind streaks, etc.) are d...
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Full title
Semantic Segmentation of Metoceanic Processes Using SAR Observations and Deep Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_be6a9c9a1fcf44aea98984dfba776d50
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be6a9c9a1fcf44aea98984dfba776d50
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14040851
