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dc.contributor.authorDoulgeris, Anthony Paul
dc.date.accessioned2014-06-30T08:57:32Z
dc.date.available2014-06-30T08:57:32Z
dc.date.issued2013
dc.description.abstractThis work presents a simple feature-based multi-channel SAR segmentation method that produces good, smooth, fast and robust results for image segmentation and interpretation. A basic set of six features produce good class distinction for general applications, and the method is easily extendable with new features and for multi-source data fusion. Optional steps of sub-sampling and Markov Random Field based contextual smoothing are presented. The different stages of the basic approach are demonstrated with real data examples from several sensors and for several applications and is fast enough for operational use.en
dc.identifier.citationPOLinSAR in Frascati (2013 )en
dc.identifier.otherFRIDAID 1029823
dc.identifier.urihttp://hdl.handle.net/10037/6441
dc.identifier.urnURN:NBN:no-uit_munin_5923
dc.language.isoengen
dc.rights.accessRightsopenAccess
dc.subjectPolarimetricen
dc.subjectSynthetic Aperture Radaren
dc.subjectProduct Modelen
dc.subjectSegmentationen
dc.subjectContextual Smoothingen
dc.subjectVDP::Matematikk og Naturvitenskap: 400en
dc.subjectVDP::Mathematics and natural science: 400en
dc.titleA Simple and Extendable Segmentation Method for Multi-Polarisation SAR Imagesen
dc.typeConference objecten
dc.typeKonferansebidragen


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