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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GD4dR
Repositorysid.inpe.br/banon/2005/07.02.18.43
Last Update2005:07.03.03.00.00 administrator
Metadatasid.inpe.br/banon/2005/07.02.18.43.18
Metadata Last Update2020:02.19.03.19.06 administrator
Citation KeyGambiniMejaJacoFrer:2005:PoSARe
TitlePolarimetric SAR region boundary detection using B-spline deformable countours under the GH Model
FormatOn-line
Year2005
Date9-12 Oct. 2005
Access Date2020, Dec. 05
Number of Files1
Size742 KiB
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
e-Mail Addressfrery@tci.ufal.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2005-07-03 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
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsSynthetic Aperture Radar, Speckle, Edge, Polarimetry.
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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Languageen
Target Filefrerya_polarimetric1.pdf
User Groupacfrery
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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