SAR image segmentation using level sets and region competition under the GH model
Synthetic Aperture Radar (SAR) images are dificult to segment due to their characteristic noise, called speckle, which is multiplicative, non-gaussian and has a low signal to noise ratio. In this work we use the GH distribution to model the SAR data from the different regions of the image. We estima...
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p153_Buemi |
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todo:paper_03029743_v5856LNCS_n_p153_Buemi2023-10-03T15:19:12Z SAR image segmentation using level sets and region competition under the GH model Buemi, M.E. Goussies, N. Jacobo, J. Mejail, M. GHdistribution Level set Multiregion competition SAR images Segmentation GHdistribution Level Set Multiregion competition SAR Images Segmentation Algorithms Competition Computer applications Computer vision Imaging systems Signal to noise ratio Synthetic aperture radar Image segmentation Synthetic Aperture Radar (SAR) images are dificult to segment due to their characteristic noise, called speckle, which is multiplicative, non-gaussian and has a low signal to noise ratio. In this work we use the GH distribution to model the SAR data from the different regions of the image. We estimate their statistical parameters and use them in a segmentation algorithm based on multiregion competition. We then apply this algorithm to segment simulated as well as real SAR images and evaluate the accuracy of the segmentation results obtained. © 2009 Springer-Verlag Berlin Heidelberg. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p153_Buemi |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
GHdistribution Level set Multiregion competition SAR images Segmentation GHdistribution Level Set Multiregion competition SAR Images Segmentation Algorithms Competition Computer applications Computer vision Imaging systems Signal to noise ratio Synthetic aperture radar Image segmentation |
spellingShingle |
GHdistribution Level set Multiregion competition SAR images Segmentation GHdistribution Level Set Multiregion competition SAR Images Segmentation Algorithms Competition Computer applications Computer vision Imaging systems Signal to noise ratio Synthetic aperture radar Image segmentation Buemi, M.E. Goussies, N. Jacobo, J. Mejail, M. SAR image segmentation using level sets and region competition under the GH model |
topic_facet |
GHdistribution Level set Multiregion competition SAR images Segmentation GHdistribution Level Set Multiregion competition SAR Images Segmentation Algorithms Competition Computer applications Computer vision Imaging systems Signal to noise ratio Synthetic aperture radar Image segmentation |
description |
Synthetic Aperture Radar (SAR) images are dificult to segment due to their characteristic noise, called speckle, which is multiplicative, non-gaussian and has a low signal to noise ratio. In this work we use the GH distribution to model the SAR data from the different regions of the image. We estimate their statistical parameters and use them in a segmentation algorithm based on multiregion competition. We then apply this algorithm to segment simulated as well as real SAR images and evaluate the accuracy of the segmentation results obtained. © 2009 Springer-Verlag Berlin Heidelberg. |
format |
SER |
author |
Buemi, M.E. Goussies, N. Jacobo, J. Mejail, M. |
author_facet |
Buemi, M.E. Goussies, N. Jacobo, J. Mejail, M. |
author_sort |
Buemi, M.E. |
title |
SAR image segmentation using level sets and region competition under the GH model |
title_short |
SAR image segmentation using level sets and region competition under the GH model |
title_full |
SAR image segmentation using level sets and region competition under the GH model |
title_fullStr |
SAR image segmentation using level sets and region competition under the GH model |
title_full_unstemmed |
SAR image segmentation using level sets and region competition under the GH model |
title_sort |
sar image segmentation using level sets and region competition under the gh model |
url |
http://hdl.handle.net/20.500.12110/paper_03029743_v5856LNCS_n_p153_Buemi |
work_keys_str_mv |
AT buemime sarimagesegmentationusinglevelsetsandregioncompetitionundertheghmodel AT goussiesn sarimagesegmentationusinglevelsetsandregioncompetitionundertheghmodel AT jacoboj sarimagesegmentationusinglevelsetsandregioncompetitionundertheghmodel AT mejailm sarimagesegmentationusinglevelsetsandregioncompetitionundertheghmodel |
_version_ |
1782029231146926080 |