Assessment of SAR image filtering using adaptive stack filters

Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is then...

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Autores principales: Buemi, María Elena, Mejail, Marta Estela
Publicado: 2011
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7042LNCS_n_p89_Buemi
http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p89_Buemi
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id paper:paper_03029743_v7042LNCS_n_p89_Buemi
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spelling paper:paper_03029743_v7042LNCS_n_p89_Buemi2023-06-08T15:28:42Z Assessment of SAR image filtering using adaptive stack filters Buemi, María Elena Mejail, Marta Estela Non-linear filters SAR image filtering speckle noise stack filters Classification accuracy Filtered images Input image Noiseless images Noisy versions Nonlinear filter Quality indices SAR Images speckle noise Stack filters Synthetic aperture radar images Binary images Boolean functions Computer vision Image quality Nonlinear filtering Synthetic aperture radar Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be designed to be optimal; they are computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work we study the performance of adaptive stack filters when they are applied to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. © 2011 Springer-Verlag. 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. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7042LNCS_n_p89_Buemi http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p89_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 Non-linear filters
SAR image filtering
speckle noise
stack filters
Classification accuracy
Filtered images
Input image
Noiseless images
Noisy versions
Nonlinear filter
Quality indices
SAR Images
speckle noise
Stack filters
Synthetic aperture radar images
Binary images
Boolean functions
Computer vision
Image quality
Nonlinear filtering
Synthetic aperture radar
spellingShingle Non-linear filters
SAR image filtering
speckle noise
stack filters
Classification accuracy
Filtered images
Input image
Noiseless images
Noisy versions
Nonlinear filter
Quality indices
SAR Images
speckle noise
Stack filters
Synthetic aperture radar images
Binary images
Boolean functions
Computer vision
Image quality
Nonlinear filtering
Synthetic aperture radar
Buemi, María Elena
Mejail, Marta Estela
Assessment of SAR image filtering using adaptive stack filters
topic_facet Non-linear filters
SAR image filtering
speckle noise
stack filters
Classification accuracy
Filtered images
Input image
Noiseless images
Noisy versions
Nonlinear filter
Quality indices
SAR Images
speckle noise
Stack filters
Synthetic aperture radar images
Binary images
Boolean functions
Computer vision
Image quality
Nonlinear filtering
Synthetic aperture radar
description Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be designed to be optimal; they are computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work we study the performance of adaptive stack filters when they are applied to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images. © 2011 Springer-Verlag.
author Buemi, María Elena
Mejail, Marta Estela
author_facet Buemi, María Elena
Mejail, Marta Estela
author_sort Buemi, María Elena
title Assessment of SAR image filtering using adaptive stack filters
title_short Assessment of SAR image filtering using adaptive stack filters
title_full Assessment of SAR image filtering using adaptive stack filters
title_fullStr Assessment of SAR image filtering using adaptive stack filters
title_full_unstemmed Assessment of SAR image filtering using adaptive stack filters
title_sort assessment of sar image filtering using adaptive stack filters
publishDate 2011
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7042LNCS_n_p89_Buemi
http://hdl.handle.net/20.500.12110/paper_03029743_v7042LNCS_n_p89_Buemi
work_keys_str_mv AT buemimariaelena assessmentofsarimagefilteringusingadaptivestackfilters
AT mejailmartaestela assessmentofsarimagefilteringusingadaptivestackfilters
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