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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Bibliographic Details
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
Description
Summary: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.