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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/08.03.17.13
Last Update2007:08.03.17.13.11 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/08.03.17.13.13
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyBuemiMejaJacoGamb:2007:ImSAIm
TitleImprovement in SAR Image Classification using Adaptive Stack Filters
FormatPrinted, On-line.
Year2007
Access Date2021, Jan. 25
Number of Files1
Size501 KiB
Context area
Author1 Buemi, María Elena
2 Mejail, Marta
3 Jacobo, Julio
4 Gambini, Juliana
Affiliation1 Universidad de Buenos Aires-Facultad de Ciencias Exactas y Naturales-Departamento de Computacion
2 Universidad de Buenos Aires-Facultad de Ciencias Exactas y Naturales-Departamento de Computacion
3 Universidad de Buenos Aires-Facultad de Ciencias Exactas y Naturales-Departamento de Computacion
4 Universidad de Buenos Aires-Facultad de Ciencias Exactas y Naturales-Departamento de Computacion
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
DateOct. 7-10, 2007
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2008-07-17 14:09:43 :: mebuemi@gmail.com -> administrator ::
2009-08-13 20:38:31 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsStack Filter - SAR - Speckle -Classification.
AbstractStack 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.
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data URLhttp://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/08.03.17.13
zipped data URLhttp://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/08.03.17.13
Languageen
Target Filesib_stack_filter.pdf
User Groupmebuemi@gmail.com
administrator
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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