Improvement in SAR image classification 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 filte...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Buemi, María Elena, Mejail, Marta Estela, Gambini, María Juliana
Publicado: 2007
Materias:
Binary images
Boolean functions
Computational geometry
Computer graphics
Digital image storage
Image analysis
Image classification
Image processing
Imaging systems
Radar
Synthetic aperture radar
Synthetic apertures
Input images
Linear filters
Noiseless images
Noisy versions
Real images
Speckle noises
Stack filters
Image enhancement
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07695299_v_n_p263_Buemi
http://hdl.handle.net/20.500.12110/paper_07695299_v_n_p263_Buemi
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id paper:paper_07695299_v_n_p263_Buemi
record_format dspace
spelling paper:paper_07695299_v_n_p263_Buemi2023-06-08T15:45:48Z Improvement in SAR image classification using adaptive stack filters Buemi, María Elena Mejail, Marta Estela Gambini, María Juliana Binary images Boolean functions Computational geometry Computer graphics Digital image storage Image analysis Image classification Image processing Imaging systems Radar Synthetic aperture radar Synthetic apertures Input images Linear filters Noiseless images Noisy versions Real images Speckle noises Stack filters Image enhancement 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 filtered by a Boolean function. The Boolean function that characterizes an adaptive stack filter is optimal and is computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work the behavior of adaptive stack filters is evaluated for the classification of Synthetic Aperture Radar (SAR) images, which are affected by speckle noise. With this aim it was carried out experiment in which simulated and real images are generated and then filtered with a stack filter trained with one of them. The results of their Maximum Likelihood classification are evaluated and then are compared with the results of classifying the images without previous filtering. © 2007 IEEE. 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. Fil:Gambini, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2007 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07695299_v_n_p263_Buemi http://hdl.handle.net/20.500.12110/paper_07695299_v_n_p263_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 Binary images
Boolean functions
Computational geometry
Computer graphics
Digital image storage
Image analysis
Image classification
Image processing
Imaging systems
Radar
Synthetic aperture radar
Synthetic apertures
Input images
Linear filters
Noiseless images
Noisy versions
Real images
Speckle noises
Stack filters
Image enhancement
spellingShingle Binary images
Boolean functions
Computational geometry
Computer graphics
Digital image storage
Image analysis
Image classification
Image processing
Imaging systems
Radar
Synthetic aperture radar
Synthetic apertures
Input images
Linear filters
Noiseless images
Noisy versions
Real images
Speckle noises
Stack filters
Image enhancement
Buemi, María Elena
Mejail, Marta Estela
Gambini, María Juliana
Improvement in SAR image classification using adaptive stack filters
topic_facet Binary images
Boolean functions
Computational geometry
Computer graphics
Digital image storage
Image analysis
Image classification
Image processing
Imaging systems
Radar
Synthetic aperture radar
Synthetic apertures
Input images
Linear filters
Noiseless images
Noisy versions
Real images
Speckle noises
Stack filters
Image enhancement
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 filtered by a Boolean function. The Boolean function that characterizes an adaptive stack filter is optimal and is computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work the behavior of adaptive stack filters is evaluated for the classification of Synthetic Aperture Radar (SAR) images, which are affected by speckle noise. With this aim it was carried out experiment in which simulated and real images are generated and then filtered with a stack filter trained with one of them. The results of their Maximum Likelihood classification are evaluated and then are compared with the results of classifying the images without previous filtering. © 2007 IEEE.
author Buemi, María Elena
Mejail, Marta Estela
Gambini, María Juliana
author_facet Buemi, María Elena
Mejail, Marta Estela
Gambini, María Juliana
author_sort Buemi, María Elena
title Improvement in SAR image classification using adaptive stack filters
title_short Improvement in SAR image classification using adaptive stack filters
title_full Improvement in SAR image classification using adaptive stack filters
title_fullStr Improvement in SAR image classification using adaptive stack filters
title_full_unstemmed Improvement in SAR image classification using adaptive stack filters
title_sort improvement in sar image classification using adaptive stack filters
publishDate 2007
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07695299_v_n_p263_Buemi
http://hdl.handle.net/20.500.12110/paper_07695299_v_n_p263_Buemi
work_keys_str_mv AT buemimariaelena improvementinsarimageclassificationusingadaptivestackfilters
AT mejailmartaestela improvementinsarimageclassificationusingadaptivestackfilters
AT gambinimariajuliana improvementinsarimageclassificationusingadaptivestackfilters
_version_ 1768544140023300096

Ejemplares similares