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dc.contributor.authorMoen, Mari-Ann
dc.contributor.authorDoulgeris, Anthony Paul
dc.contributor.authorAnfinsen, Stian Normann
dc.contributor.authorRenner, Angelika H.H.
dc.contributor.authorHughes, Nick
dc.contributor.authorGerland, Sebastian
dc.contributor.authorEltoft, Torbjørn
dc.date.accessioned2013-12-16T09:00:46Z
dc.date.available2013-12-16T09:00:46Z
dc.date.issued2013
dc.description.abstractIn this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties. Utilizing polarimetric information in sea ice charting will increase the efficiency and exactness of the maps. The number of classes used in the segmentation has shown to be of significant importance. Thus, studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work.en
dc.identifier.citationThe Cryosphere 7(2013) nr. 6 s. 1693-1705en
dc.identifier.cristinIDFRIDAID 1066501
dc.identifier.doihttp://dx.doi.org/10.5194/tc-7-1693-2013
dc.identifier.issn1994-0416
dc.identifier.urihttps://hdl.handle.net/10037/5632
dc.identifier.urnURN:NBN:no-uit_munin_5336
dc.language.isoengen
dc.publisherNational Snow and Ice Data Centeren
dc.rights.accessRightsopenAccess
dc.subjectVDP::Mathematics and natural science: 400::Geosciences: 450::Oceanography: 452en
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Oseanografi: 452en
dc.titleComparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice chartsen
dc.typeJournal articleen
dc.typeTidsskriftartikkelen
dc.typePeer revieweden


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