dc.contributor.author | Zhang, Qin | |
dc.contributor.author | Skjetne, Roger | |
dc.date.accessioned | 2014-12-30T17:55:58Z | |
dc.date.accessioned | 2016-04-07T13:55:47Z | |
dc.date.available | 2014-12-30T17:55:58Z | |
dc.date.available | 2016-04-07T13:55:47Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Modeling, Identification and Control 2014, 35(4):293-301 | nb_NO |
dc.identifier.issn | 0332-7353 | |
dc.identifier.uri | http://hdl.handle.net/11250/2384521 | |
dc.description.abstract | The estimation of ice forces are critical to Dynamic Positioning (DP) operations in Arctic waters. Ice conditions are important for the analysis of ice-structure interaction in an ice field. To monitor sea-ice conditions, cameras are used as field observation sensors on mobile sensor platforms in Arctic. Various image processing techniques, such as Otsu thresholding, k-means clustering, distance transform, Gradient Vector Flow (GVF) Snake, mathematical morphology, are then applied to obtain ice concentration, ice types, and floe size distribution from sea-ice images to ensure safe operations of structures in ice covered regions. Those techniques yield acceptable results, and their effectiveness are demonstrated in case studies. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Norsk Forening for Automatisering | nb_NO |
dc.relation.uri | http://www.mic-journal.no/PDF/2014/MIC-2014-4-6.pdf | |
dc.rights | Navngivelse 3.0 Norge | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/no/ | * |
dc.title | Image Techniques for Identifying Sea-Ice Parameters | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.date.updated | 2014-12-30T17:55:58Z | |
dc.subject.nsi | VDP::Teknologi: 500::Marin teknologi: 580 | nb_NO |
dc.subject.nsi | VDP::Technology: 500::Marine technology: 580 | nb_NO |
dc.subject.nsi | VDP::Teknologi: 500::Miljøteknologi: 610 | nb_NO |
dc.subject.nsi | VDP::Technology: 500::Environmental engineering: 610 | nb_NO |
dc.source.volume | 35 | nb_NO |
dc.source.journal | Modeling, Identification and Control | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.4173/mic.2014.4.6 | |
dc.identifier.cristin | 1189348 | |
dc.subject.keyword | Arktisk teknologi / Arctic Technology | |
dc.subject.keyword | Isforvaltning / Ice Management | |
dc.subject.keyword | Miljøovervåkning / Environmental monitoring | |
dc.description.localcode | (c) 2014 Norwegian Society of Automatic Control. Creative Commons Attribution 3.0 Unported (CC BY 3.0) license. See: http://creativecommons.org/licenses/by/3.0/. | nb_NO |