Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter

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...

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Main Authors: Olofsson, Jonatan, Lindahl Flåten, Andreas, Veibäck, Clas, Lauknes, Tom Rune
Format: Conference Object
Language:English
Published: Linköpings universitet, Reglerteknik 2017
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141911
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record_format openpolar
spelling ftlinkoepinguniv:oai:DiVA.org:liu-141911 2023-05-15T17:05:16+02:00 Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter Olofsson, Jonatan Lindahl Flåten, Andreas Veibäck, Clas Lauknes, Tom Rune 2017 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141911 eng eng Linköpings universitet, Reglerteknik Linköpings universitet, Tekniska fakulteten Proceedings of the 2017 OCEANS 17 conference http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141911 info:eu-repo/semantics/openAccess Gaussian Field Ice Tracking Current Estimation Labeled Multi-Bernoulli Filter Control Engineering Reglerteknik Conference paper info:eu-repo/semantics/conferenceObject text 2017 ftlinkoepinguniv 2022-05-01T08:12:15Z 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. LINK-SIC Conference Object Kongsfjord* Kongsfjorden Sea ice Svalbard LIU - Linköping University: Publications (DiVA) Svalbard
institution Open Polar
collection LIU - Linköping University: Publications (DiVA)
op_collection_id ftlinkoepinguniv
language English
topic Gaussian Field
Ice Tracking
Current Estimation
Labeled Multi-Bernoulli Filter
Control Engineering
Reglerteknik
spellingShingle Gaussian Field
Ice Tracking
Current Estimation
Labeled Multi-Bernoulli Filter
Control Engineering
Reglerteknik
Olofsson, Jonatan
Lindahl Flåten, Andreas
Veibäck, Clas
Lauknes, Tom Rune
Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
topic_facet Gaussian Field
Ice Tracking
Current Estimation
Labeled Multi-Bernoulli Filter
Control Engineering
Reglerteknik
description 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. LINK-SIC
format Conference Object
author Olofsson, Jonatan
Lindahl Flåten, Andreas
Veibäck, Clas
Lauknes, Tom Rune
author_facet Olofsson, Jonatan
Lindahl Flåten, Andreas
Veibäck, Clas
Lauknes, Tom Rune
author_sort Olofsson, Jonatan
title Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
title_short Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
title_full Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
title_fullStr Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
title_full_unstemmed Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
title_sort gaussian field current estimation from drift sea ice tracking with the labeled multi-bernoulli filter
publisher Linköpings universitet, Reglerteknik
publishDate 2017
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141911
geographic Svalbard
geographic_facet Svalbard
genre Kongsfjord*
Kongsfjorden
Sea ice
Svalbard
genre_facet Kongsfjord*
Kongsfjorden
Sea ice
Svalbard
op_relation Proceedings of the 2017 OCEANS 17 conference
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-141911
op_rights info:eu-repo/semantics/openAccess
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