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Reference TypeConference Paper (Conference Proceedings)
Last Update2005: (UTC) administrator
Metadata Last Update2020: (UTC) administrator
Citation KeyGambiniMejaJacoFrer:2005:PoSARe
TitlePolarimetric SAR region boundary detection using B-spline deformable countours under the GH Model
Access Date2021, Dec. 07
Number of Files1
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Context area
Author1 Gambini, Juliana
2 Mejail, Marta Estela
3 Jacobo-Berlles, Julio
4 Frery, Alejandro César
Affiliation1 Universidad de Buenos Aires, Departamento de Computación
2 Universidad de Buenos Aires, Departamento de Computación
3 Universidad de Buenos Aires, Departamento de Computación
4 Universidade Federal de Alagoas, Departamento de Tecnologia da Informação
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-03 12:36:20 :: acfrery -> banon ::
2005-07-04 21:09:04 :: banon -> acfrery ::
2008-07-17 14:10:58 :: acfrery -> banon ::
2008-08-26 15:17:00 :: banon -> administrator ::
2009-08-13 20:37:42 :: administrator -> banon ::
2010-08-28 20:01:16 :: banon -> administrator ::
2020-02-19 03:19:06 :: administrator -> :: 2005
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsSynthetic Aperture Radar
AbstractIn 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.
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