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dc.contributor.authorTorsvik, Bjørn Maaløe
dc.contributor.authorPoulsen, Robert Nøddebo
dc.contributor.authorvan Bavel, Bert
dc.contributor.authorGundersen, Hege
dc.contributor.authorHancke, Kasper
dc.date.accessioned2020-12-21T08:30:02Z
dc.date.available2020-12-21T08:30:02Z
dc.date.created2020-11-24T11:23:13Z
dc.date.issued2020
dc.identifier.isbn978-82-577-7288-8
dc.identifier.issn1894-7948
dc.identifier.urihttps://hdl.handle.net/11250/2720470
dc.descriptionProject Manager Kasper Hanckeen_US
dc.description.abstractThis pilot study demonstrates UAV-based image collection being a promising technology for plastic detection in beach zones and we recommend object-based image analysis and UAV-based data collection being further developed for marine litter detection. Objects of plastic at sizes down to 3.5 x 3.5 cm were segmented and classified successfully corresponding to approximately 4 times the pixel width of the classified images. Overall conclusions should be approached with some caution, due to the relatively few ground truth data points (13-37 geolocated plastic pieces) and their different characteristics regarding color and size.en_US
dc.language.isoengen_US
dc.publisherNorsk institutt for vannforskningen_US
dc.relation.ispartofNIVA-rapport
dc.relation.ispartofseriesNIVA-rapport;7553
dc.subjectDronebilderen_US
dc.subjectDrone imagesen_US
dc.subjectObjektbasert bildeanalyseen_US
dc.subjectObject-based image analysisen_US
dc.subjectPlastdetekteringen_US
dc.subjectPlastic detectionen_US
dc.subjectRandom Foresten_US
dc.subjectRandom Foresten_US
dc.titleDetection of macroplastic on beaches using drones and object-based image analysisen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© Norsk institutt for vannforskning/Norwegian Institute for Water Research. The publication can be cited freely if the source is stated.en_US
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400en_US
dc.subject.nsiVDP::Mathematics and natural scienses: 400en_US
dc.source.pagenumber47en_US
dc.source.issue7553en_US
dc.identifier.cristin1851517
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextoriginal


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