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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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 |