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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2011
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v8_n4_p814_Gomez http://hdl.handle.net/20.500.12110/paper_1545598X_v8_n4_p814_Gomez |
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paper:paper_1545598X_v8_n4_p814_Gomez2023-06-08T16:21:12Z Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images 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. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v8_n4_p814_Gomez 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 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. |
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 |
publishDate |
2011 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1545598X_v8_n4_p814_Gomez http://hdl.handle.net/20.500.12110/paper_1545598X_v8_n4_p814_Gomez |
_version_ |
1768543674726088704 |