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dc.contributor.authorOlofsson, Jonatan
dc.contributor.authorBrekke, Edmund Førland
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2018-01-09T14:22:47Z
dc.date.available2018-01-09T14:22:47Z
dc.date.created2017-09-14T11:05:01Z
dc.date.issued2017
dc.identifier.citation2017 International Conference on Unmanned Aircraft Systems (ICUAS)nb_NO
dc.identifier.isbn978-1-5090-4495-5
dc.identifier.urihttp://hdl.handle.net/11250/2476515
dc.description.abstractIn polar region operations, drift ice positioning and tracking is useful for both scientific and safety reasons. Many sensors can be employed to generate detections of sea ice, such as satellite-carried Synthetic Aperture Radar (SAR) and, recently, imagery equipment carried by Unmanned Aerial Systems (UAS). Satellite-carried SAR has the advantage of being able to cover large areas and provide consistent imagery largely independent of weather, albeit at a relatively coarse resolution. Using UAS, the resolution and precision of the tracking can be locally improved. To track the large amount of individual objects present in an area as large as the Arctic, it is necessary to efficiently select and exclusively work with the objects in the relevant field-of-view. In this paper, a Spatially Indexed Labeled Multi-Bernoulli filter is presented and applied to a tracking problem representing a mission setup for field-tests due this year. In the setup, satellite and UAS imagery is combined to provide real-time Multi-Target Tracking of sea ice objects. A brief introduction is given to the implementation of the proposed Spatially Indexed Labeled Multi-Bernoulli Ilter, which is made available under an Open Source license.nb_NO
dc.language.isoengnb_NO
dc.publisherIEEEnb_NO
dc.relation.ispartof2017 International Conference on Unmanned Aircraft Systems
dc.titleCooperative Remote Sensing of Ice using a Spatially Indexed Labeled Multi-Bernoulli Filternb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/ICUAS.2017.7991507
dc.identifier.cristin1493677
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.relation.projectEC/H2020/642153nb_NO
dc.description.localcode©2017 IEEE. This is the authors' accepted version of the manuscript to the article. 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.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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