Adaptive stack filters in speckled imagery
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...
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2006
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97288654_v1_n_p33_Buemi http://hdl.handle.net/20.500.12110/paper_97288654_v1_n_p33_Buemi |
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paper:paper_97288654_v1_n_p33_Buemi2023-06-08T16:36:57Z Adaptive stack filters in speckled imagery Buemi, María Elena Mejail, Marta Estela Gambini, María Juliana Classification Sinthetic aperture radar Speckle Stack filter Classification Corrupted images Ideal images Input image Maximum likelihood classifications Monte Carlo experiments Nonlinear filter Simulated images Speckle noise Stack filters Binary images Boolean functions Computer vision Maximum likelihood Radar Speckle 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 filtered by using a boolean function. Adaptive stack filters are optimized filters that compute a boolean function by using a corrupted image and ideal image without noise. In this work the behaviour of an adaptive stack filter is evaluated for the classification of synthetic apreture radar (SAR) images, which are affected by speckle noise. With this aim it is carried out a Monte Carlo experiment in which simulated 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. Fil:Buemi, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Gambini, M.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97288654_v1_n_p33_Buemi http://hdl.handle.net/20.500.12110/paper_97288654_v1_n_p33_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 |
Classification Sinthetic aperture radar Speckle Stack filter Classification Corrupted images Ideal images Input image Maximum likelihood classifications Monte Carlo experiments Nonlinear filter Simulated images Speckle noise Stack filters Binary images Boolean functions Computer vision Maximum likelihood Radar Speckle Synthetic aperture radar |
| spellingShingle |
Classification Sinthetic aperture radar Speckle Stack filter Classification Corrupted images Ideal images Input image Maximum likelihood classifications Monte Carlo experiments Nonlinear filter Simulated images Speckle noise Stack filters Binary images Boolean functions Computer vision Maximum likelihood Radar Speckle Synthetic aperture radar Buemi, María Elena Mejail, Marta Estela Gambini, María Juliana Adaptive stack filters in speckled imagery |
| topic_facet |
Classification Sinthetic aperture radar Speckle Stack filter Classification Corrupted images Ideal images Input image Maximum likelihood classifications Monte Carlo experiments Nonlinear filter Simulated images Speckle noise Stack filters Binary images Boolean functions Computer vision Maximum likelihood Radar Speckle 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 filtered by using a boolean function. Adaptive stack filters are optimized filters that compute a boolean function by using a corrupted image and ideal image without noise. In this work the behaviour of an adaptive stack filter is evaluated for the classification of synthetic apreture radar (SAR) images, which are affected by speckle noise. With this aim it is carried out a Monte Carlo experiment in which simulated 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. |
| 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 |
Adaptive stack filters in speckled imagery |
| title_short |
Adaptive stack filters in speckled imagery |
| title_full |
Adaptive stack filters in speckled imagery |
| title_fullStr |
Adaptive stack filters in speckled imagery |
| title_full_unstemmed |
Adaptive stack filters in speckled imagery |
| title_sort |
adaptive stack filters in speckled imagery |
| publishDate |
2006 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_97288654_v1_n_p33_Buemi http://hdl.handle.net/20.500.12110/paper_97288654_v1_n_p33_Buemi |
| work_keys_str_mv |
AT buemimariaelena adaptivestackfiltersinspeckledimagery AT mejailmartaestela adaptivestackfiltersinspeckledimagery AT gambinimariajuliana adaptivestackfiltersinspeckledimagery |
| _version_ |
1768542057164439552 |