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dc.contributor.authoroudijk, AE
dc.contributor.authorJohansen, Tor Arne
dc.contributor.authorJohnsen, Geir
dc.contributor.authorAlver, Morten Omholt
dc.date.accessioned2024-04-11T12:56:53Z
dc.date.available2024-04-11T12:56:53Z
dc.date.created2023-12-22T15:58:40Z
dc.date.issued2023
dc.identifier.citationOCEANS. 2023, 1-8.en_US
dc.identifier.issn0197-7385
dc.identifier.urihttps://hdl.handle.net/11250/3126146
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleSimulating Hyperspectral Datacubes for Ocean Color: A Foundation for Phytoplankton Recognition in Spectral Signaturesen_US
dc.title.alternativeSimulating Hyperspectral Datacubes for Ocean Color: A Foundation for Phytoplankton Recognition in Spectral Signaturesen_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen_US
dc.source.pagenumber1-8en_US
dc.source.journalOCEANSen_US
dc.identifier.doi10.23919/OCEANS52994.2023.10337371
dc.identifier.cristin2217362
dc.relation.projectNorges forskningsråd: 325961en_US
dc.relation.projectNorges forskningsråd: 223254en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode0


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