Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model

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-Sp...

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Autores principales: Gambini, María Juliana, Mejail, Marta Estela, Jacobo Berlles, Julio C. A.
Publicado: 2005
Materias:
Algorithms
Contour measurement
Image reconstruction
Image segmentation
Mathematical models
Statistical methods
Boundary detection
Synthetic aperture radar
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v2005_n_p197_Gambini
http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p197_Gambini
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_15301834_v2005_n_p197_Gambini
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spelling paper:paper_15301834_v2005_n_p197_Gambini2023-06-08T16:19:42Z Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model Gambini, María Juliana Mejail, Marta Estela Jacobo Berlles, Julio C. A. Algorithms Contour measurement Image reconstruction Image segmentation Mathematical models Statistical methods Boundary detection Synthetic aperture radar 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 defomable contours technique to find the boundary. In doing this, the statistical parameters of the polarimetric GH model for the data are estimated, in order to find the transition points between the region being segmented and the surrounding area. This algorithm can be regarded as a local one, in the sense that it works on the region to be segmented instead of on the whole image © 2005 IEEE. Fil:Gambini, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Jacobo-Berlles, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2005 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v2005_n_p197_Gambini http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p197_Gambini
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Algorithms
Contour measurement
Image reconstruction
Image segmentation
Mathematical models
Statistical methods
Boundary detection
Synthetic aperture radar
spellingShingle Algorithms
Contour measurement
Image reconstruction
Image segmentation
Mathematical models
Statistical methods
Boundary detection
Synthetic aperture radar
Gambini, María Juliana
Mejail, Marta Estela
Jacobo Berlles, Julio C. A.
Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
topic_facet Algorithms
Contour measurement
Image reconstruction
Image segmentation
Mathematical models
Statistical methods
Boundary detection
Synthetic aperture radar
description 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 defomable contours technique to find the boundary. In doing this, the statistical parameters of the polarimetric GH model for the data are estimated, in order to find the transition points between the region being segmented and the surrounding area. This algorithm can be regarded as a local one, in the sense that it works on the region to be segmented instead of on the whole image © 2005 IEEE.
author Gambini, María Juliana
Mejail, Marta Estela
Jacobo Berlles, Julio C. A.
author_facet Gambini, María Juliana
Mejail, Marta Estela
Jacobo Berlles, Julio C. A.
author_sort Gambini, María Juliana
title Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
title_short Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
title_full Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
title_fullStr Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
title_full_unstemmed Polarimetric SAR region boundary detection using B-spline deformable countours under the GH model
title_sort polarimetric sar region boundary detection using b-spline deformable countours under the gh model
publishDate 2005
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15301834_v2005_n_p197_Gambini
http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p197_Gambini
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