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...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_07695299_v_n_p263_Buemi |
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todo:paper_07695299_v_n_p263_Buemi2023-10-03T15:39:43Z Improvement in SAR image classification using adaptive stack filters Buemi, M.E. Mejail, M. Jacobo, J. Gambini, J. 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, M.E. Mejail, M. Jacobo, J. Gambini, J. 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. |
| format |
CONF |
| author |
Buemi, M.E. Mejail, M. Jacobo, J. Gambini, J. |
| author_facet |
Buemi, M.E. Mejail, M. Jacobo, J. Gambini, J. |
| author_sort |
Buemi, M.E. |
| 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 |
| url |
http://hdl.handle.net/20.500.12110/paper_07695299_v_n_p263_Buemi |
| work_keys_str_mv |
AT buemime improvementinsarimageclassificationusingadaptivestackfilters AT mejailm improvementinsarimageclassificationusingadaptivestackfilters AT jacoboj improvementinsarimageclassificationusingadaptivestackfilters AT gambinij improvementinsarimageclassificationusingadaptivestackfilters |
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1782026747023196160 |