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		<doi>10.1109/SIBGRAPI.2005.39</doi>
		<citationkey>GambiniMejaJacoFrer:2005:PoSARe</citationkey>
		<title>Polarimetric SAR region boundary detection using B-spline deformable countours under the GH Model</title>
		<format>On-line</format>
		<year>2005</year>
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		<author>Gambini, Juliana,</author>
		<author>Mejail, Marta Estela,</author>
		<author>Jacobo-Berlles, Julio,</author>
		<author>Frery, Alejandro César,</author>
		<affiliation>Universidad de Buenos Aires, Departamento de Computación,</affiliation>
		<affiliation>Universidad de Buenos Aires, Departamento de Computación,</affiliation>
		<affiliation>Universidad de Buenos Aires, Departamento de Computación,</affiliation>
		<affiliation>Universidade Federal de Alagoas, Departamento de Tecnologia da Informação,</affiliation>
		<editor>Rodrigues, Maria Andréia Formico,</editor>
		<editor>Frery, Alejandro César,</editor>
		<e-mailaddress>frery@tci.ufal.br</e-mailaddress>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)</conferencename>
		<conferencelocation>Natal, RN, Brazil</conferencelocation>
		<date>9-12 Oct. 2005</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Synthetic Aperture Radar, Speckle, Edge, Polarimetry.</keywords>
		<abstract>In this paper a new approach to polarimetric Synthetic Aperture Radar (SAR) image region boundary detection is presented. It is based on a new model for polarimetric SAR data and the use of B-Spline active contours for image segmentation. In order to detect the boundary for a region, an initial B-Spline curve is specified and the proposed algorithm uses a deformable contours technique to find the boundary. In doing this, the statistical parameters of the polarimetric G model for the data are estimated, in order to find the transition points between the region being segmented and the surrounding area.</abstract>
		<language>en</language>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2005/07.02.18.43</url>
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