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dc.contributor.authorWoltmann, Lucas
dc.contributor.authorDalmo, Rune
dc.contributor.authorKristiansen, Raymond
dc.date.accessioned2018-01-04T09:39:44Z
dc.date.available2018-01-04T09:39:44Z
dc.date.issued2017-08-08
dc.description.abstractIn modern data analysis it is imperative to use well maintained data sources with curated content. This publication gives an approach for research areas, where there is no such central facility. The specific area used here is sea ice classification from images. The publication is split into two parts. The first part describes the integration of discontinuous sources for different aspects of data needed. The second part describes a simple approach for getting the sea ice concentration from images taken by an ice breaker. The classification is based on the above mentioned multi-source data. We can illustrate that it is possible to combine data from various sources to a central repository and use this repository to obtain the sea ice concentration from images without using any other inputs.en_US
dc.descriptionManuscript version, link to publishers version: <a href=http://doi.org/10.1109/ISIE.2017.8001490>http://doi.org/10.1109/ISIE.2017.8001490</a>en_US
dc.identifier.citationWoltmann, Dalmo R, Kristiansen R. Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification. Proceedings of the IEEE International Symposium on Industrial Electronics. 2017:1626-1630en_US
dc.identifier.cristinIDFRIDAID 1527905
dc.identifier.doi10.1109/ISIE.2017.8001490
dc.identifier.issn2163-5145
dc.identifier.urihttps://hdl.handle.net/10037/11903
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalProceedings of the IEEE International Symposium on Industrial Electronics
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.titleMulti-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classificationen_US
dc.typePeer revieweden_US
dc.typeKonferansebidragno
dc.typeBokno
dc.typeConference objecten_US
dc.typeBooken_US


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