ub.xmlui.mirage2.page-structure.muninLogoub.xmlui.mirage2.page-structure.openResearchArchiveLogo
    • EnglishEnglish
    • norsknorsk
  • Velg spraakEnglish 
    • EnglishEnglish
    • norsknorsk
  • Administration/UB
View Item 
  •   Home
  • Fakultet for ingeniørvitenskap og teknologi
  • Institutt for datateknologi og beregningsorienterte ingeniørfag
  • Artikler, rapporter og annet (datateknologi og beregningsorienterte ingeniørfag)
  • View Item
  •   Home
  • Fakultet for ingeniørvitenskap og teknologi
  • Institutt for datateknologi og beregningsorienterte ingeniørfag
  • Artikler, rapporter og annet (datateknologi og beregningsorienterte ingeniørfag)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification

Permanent link
https://hdl.handle.net/10037/11903
DOI
https://doi.org/10.1109/ISIE.2017.8001490
Thumbnail
View/Open
article.pdf (605.6Kb)
Accepted manuscript version (PDF)
Date
2017-08-08
Type
Konferansebidrag
Conference object

Author
Woltmann, Lucas; Dalmo, Rune; Kristiansen, Raymond
Abstract
In 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.
Description
Manuscript version, link to publishers version: http://doi.org/10.1109/ISIE.2017.8001490
Publisher
IEEE
Citation
Woltmann, 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. 2017:1626-1630
Metadata
Show full item record
Collections
  • Artikler, rapporter og annet (datateknologi og beregningsorienterte ingeniørfag) [171]

Browse

Browse all of MuninCommunities & CollectionsAuthor listTitlesBy Issue DateBrowse this CollectionAuthor listTitlesBy Issue Date
Login

Statistics

View Usage Statistics
UiT

Munin is powered by DSpace

UiT The Arctic University of Norway
The University Library
uit.no/ub - munin@ub.uit.no

Accessibility statement (Norwegian only)