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Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
(Norwegian University of Science and Technology, Norway)
(Norwegian University of Science and Technology, Norway)
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
(Norut, Tromsø, Norway)
2017 (English)In: Proceedings of the 2017 OCEANS 17 conference, 2017Conference paper, Published paper (Refereed)
Abstract [en]

In polar region operations, drift sea ice positioning and tracking is useful for both scientific and safety reasons. Modeling ice movements has proven difficult, not least due to the lack of information of currents and winds of high enough resolution. Thus, observations of drift ice is essential to an up-to-date ice-tracking estimate.

As an inverse problem, it is possible to extract current and wind estimates from the tracked objects of a Multi-Target Tracking (MTT) filter. By inserting the track estimates into a Gaussian field, we obtain a two-dimensional current estimate over a region of interest.

The algorithm is applied to a Terrestrial Radar Interferometer (TRI) dataset from Kongsfjorden, Svalbard, to show the practical application of the current estimation.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Gaussian Field, Ice Tracking, Current Estimation, Labeled Multi-Bernoulli Filter
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-141911OAI: oai:DiVA.org:liu-141911DiVA, id: diva2:1148937
Conference
OCEANS 17 Anchorage, Anchorage, Alaska, USA, September 18-21, 2017
Projects
LINK-SIC
Funder
VINNOVA
Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2017-10-13

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf