Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification
Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
This paper addresses the development of a novel zero-shot learning method for remote marine litter hyperspectral imaging data classification. The work consisted of using an airborne acquired marine litter hyperspectral imaging dataset that contains data about different plastic targets and other materials and assessing the viability of detecting and...
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Full title
Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification
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TN_cdi_doaj_primary_oai_doaj_org_article_20e7cb818d294c399290cf34cf531f00
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_20e7cb818d294c399290cf34cf531f00
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14215516
