Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images

We present an interactive easy-to-use software package, based on an evolutionary algorithm, to perform adaptive anisotropic diffusion speckle filtering for synthetic aperture radar (SAR) images. As a main difference from other methodologies, there is an integration of a SAR-image human expert who pr...

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Detalles Bibliográficos
Autores principales: Gomez, L., Munteanu, C., Jacobo-Berlles, J., Mejail, M.
Formato: JOUR
Materias:
Adaptive filtering
artificial intelligence
diffusion filter
image processing
Anisotropic Diffusion
Filter designs
Human expert
Quality criteria
SAR Images
Speckle filtering
Speckle reduction
Synthetic aperture radar images
Adaptive filters
Artificial intelligence
Diffusion
Filter banks
Image processing
Imaging systems
Speckle
User interfaces
Synthetic aperture radar
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_1545598X_v8_n4_p814_Gomez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_1545598X_v8_n4_p814_Gomez
record_format dspace
spelling todo:paper_1545598X_v8_n4_p814_Gomez2023-10-03T16:23:03Z Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images Gomez, L. Munteanu, C. Jacobo-Berlles, J. Mejail, M. Adaptive filtering artificial intelligence diffusion filter image processing Anisotropic Diffusion diffusion filter Filter designs Human expert Quality criteria SAR Images Speckle filtering Speckle reduction Synthetic aperture radar images Adaptive filtering Adaptive filters Artificial intelligence Diffusion Filter banks Image processing Imaging systems Speckle User interfaces Synthetic aperture radar We present an interactive easy-to-use software package, based on an evolutionary algorithm, to perform adaptive anisotropic diffusion speckle filtering for synthetic aperture radar (SAR) images. As a main difference from other methodologies, there is an integration of a SAR-image human expert who provides a subjective validation to complete the diffusion filter design. We have applied an interactive methodology to a set of SAR images, and we compared the results with those obtained by other speckle reduction filters. The results, through the evaluation of objective global and local quality criteria, show the potential of the proposal. © 2011 IEEE. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1545598X_v8_n4_p814_Gomez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Adaptive filtering
artificial intelligence
diffusion filter
image processing
Anisotropic Diffusion
diffusion filter
Filter designs
Human expert
Quality criteria
SAR Images
Speckle filtering
Speckle reduction
Synthetic aperture radar images
Adaptive filtering
Adaptive filters
Artificial intelligence
Diffusion
Filter banks
Image processing
Imaging systems
Speckle
User interfaces
Synthetic aperture radar
spellingShingle Adaptive filtering
artificial intelligence
diffusion filter
image processing
Anisotropic Diffusion
diffusion filter
Filter designs
Human expert
Quality criteria
SAR Images
Speckle filtering
Speckle reduction
Synthetic aperture radar images
Adaptive filtering
Adaptive filters
Artificial intelligence
Diffusion
Filter banks
Image processing
Imaging systems
Speckle
User interfaces
Synthetic aperture radar
Gomez, L.
Munteanu, C.
Jacobo-Berlles, J.
Mejail, M.
Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
topic_facet Adaptive filtering
artificial intelligence
diffusion filter
image processing
Anisotropic Diffusion
diffusion filter
Filter designs
Human expert
Quality criteria
SAR Images
Speckle filtering
Speckle reduction
Synthetic aperture radar images
Adaptive filtering
Adaptive filters
Artificial intelligence
Diffusion
Filter banks
Image processing
Imaging systems
Speckle
User interfaces
Synthetic aperture radar
description We present an interactive easy-to-use software package, based on an evolutionary algorithm, to perform adaptive anisotropic diffusion speckle filtering for synthetic aperture radar (SAR) images. As a main difference from other methodologies, there is an integration of a SAR-image human expert who provides a subjective validation to complete the diffusion filter design. We have applied an interactive methodology to a set of SAR images, and we compared the results with those obtained by other speckle reduction filters. The results, through the evaluation of objective global and local quality criteria, show the potential of the proposal. © 2011 IEEE.
format JOUR
author Gomez, L.
Munteanu, C.
Jacobo-Berlles, J.
Mejail, M.
author_facet Gomez, L.
Munteanu, C.
Jacobo-Berlles, J.
Mejail, M.
author_sort Gomez, L.
title Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
title_short Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
title_full Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
title_fullStr Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
title_full_unstemmed Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
title_sort evolutionary expert-supervised despeckled srad filter design for enhancing sar images
url http://hdl.handle.net/20.500.12110/paper_1545598X_v8_n4_p814_Gomez
work_keys_str_mv AT gomezl evolutionaryexpertsuperviseddespeckledsradfilterdesignforenhancingsarimages
AT munteanuc evolutionaryexpertsuperviseddespeckledsradfilterdesignforenhancingsarimages
AT jacoboberllesj evolutionaryexpertsuperviseddespeckledsradfilterdesignforenhancingsarimages
AT mejailm evolutionaryexpertsuperviseddespeckledsradfilterdesignforenhancingsarimages
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