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dc.contributor.authorEltoft, Torbjørn
dc.contributor.authorAnfinsen, Stian Normann
dc.contributor.authorDoulgeris, Anthony Paul
dc.date.accessioned2013-12-16T08:41:49Z
dc.date.available2013-12-16T08:41:49Z
dc.date.issued2013
dc.description.abstractA statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical properties. The feasibility of producing closed form probability density functions under certain restrictions is outlined. Mellin kind statistics are derived under various assumptions on the texture variables, and the potential for model fit assessment and hypothesis testing in the Mellin domain is demonstrated. Application to real data proves the usefulness of the analytic approach.en
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing (2013), online versionen
dc.identifier.issn0196-2892
dc.identifier.otherFRIDAID 1043950
dc.identifier.otherhttp://dx.doi.org/10.1109/TGRS.2013.2267615
dc.identifier.urihttp://hdl.handle.net/10037/5628
dc.identifier.urnURN:NBN:no-uit_munin_5334
dc.language.isoengen
dc.publisherIEEE Xploreen
dc.rights.accessRightsopenAccess
dc.subjectVDP::Mathematics and natural science: 400::Physics: 430::Electromagnetism, acoustics, optics: 434en
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430::Elektromagnetisme, akustikk, optikk: 434en
dc.titleA Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Dataen
dc.typeJournal articleen
dc.typeTidsskriftartikkelen
dc.typePeer revieweden


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