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, Flåten, Andreas Lindahl, Veibäck, Clas, Lauknes, Tom Rune
Format: Book Part
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Subjects:
Online Access:http://hdl.handle.net/11250/2485994
id ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2485994
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2485994 2023-05-15T17:05:16+02:00 Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter Olofsson, Jonatan Flåten, Andreas Lindahl Veibäck, Clas Lauknes, Tom Rune 2017 http://hdl.handle.net/11250/2485994 eng eng Institute of Electrical and Electronics Engineers (IEEE) OCEANS 2017 MTS/IEEE Anchorage urn:isbn:978-0-6929-4690-9 http://hdl.handle.net/11250/2485994 cristin:1545572 Chapter 2017 ftntnutrondheimi 2019-09-17T06:53:34Z 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. We also discuss the area affected by each track estimate. The algorithm is applied to a Terrestrial Radar Interferometer (TRI) dataset from Kongsfjorden, Svalbard, to show the practical application of the current estimation. submittedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Book Part Kongsfjord* Kongsfjorden Sea ice Svalbard NTNU Open Archive (Norwegian University of Science and Technology) Svalbard
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
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. We also discuss the area affected by each track estimate. The algorithm is applied to a Terrestrial Radar Interferometer (TRI) dataset from Kongsfjorden, Svalbard, to show the practical application of the current estimation. submittedVersion © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
format Book Part
author Olofsson, Jonatan
Flåten, Andreas Lindahl
Veibäck, Clas
Lauknes, Tom Rune
spellingShingle Olofsson, Jonatan
Flåten, Andreas Lindahl
Veibäck, Clas
Lauknes, Tom Rune
Gaussian Field Current Estimation from Drift Sea Ice Tracking with the Labeled Multi-Bernoulli Filter
author_facet Olofsson, Jonatan
Flåten, Andreas Lindahl
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 Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2017
url http://hdl.handle.net/11250/2485994
geographic Svalbard
geographic_facet Svalbard
genre Kongsfjord*
Kongsfjorden
Sea ice
Svalbard
genre_facet Kongsfjord*
Kongsfjorden
Sea ice
Svalbard
op_relation OCEANS 2017 MTS/IEEE Anchorage
urn:isbn:978-0-6929-4690-9
http://hdl.handle.net/11250/2485994
cristin:1545572
_version_ 1766059717382111232