A Simple and Extendable Segmentation Method for Multi-Polarisation SAR Images

dc.contributor.author	Doulgeris, Anthony Paul
dc.date.accessioned	2014-06-30T08:57:32Z
dc.date.available	2014-06-30T08:57:32Z
dc.date.issued	2013
dc.description.abstract	This 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.citation	POLinSAR in Frascati (2013 )	en
dc.identifier.cristinID	FRIDAID 1029823
dc.identifier.uri	https://hdl.handle.net/10037/6441
dc.identifier.urn	URN:NBN:no-uit_munin_5923
dc.language.iso	eng	en
dc.rights.accessRights	openAccess
dc.subject	Polarimetric	en
dc.subject	Synthetic Aperture Radar	en
dc.subject	Product Model	en
dc.subject	Segmentation	en
dc.subject	Contextual Smoothing	en
dc.subject	VDP::Matematikk og Naturvitenskap: 400	en
dc.subject	VDP::Mathematics and natural science: 400	en
dc.title	A Simple and Extendable Segmentation Method for Multi-Polarisation SAR Images	en
dc.type	Conference object	en
dc.type	Konferansebidrag	en