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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/R3e7K
Repositorysid.inpe.br/sibgrapi@80/2007/08.03.17.13
Last Update2007:08.03.17.13.11 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2007/08.03.17.13.13
Metadata Last Update2022:06.14.00.13.38 (UTC) administrator
DOI10.1109/SIBGRAPI.2007.40
Citation KeyBuemiMejaJacoGamb:2007:ImSAIm
TitleImprovement in SAR Image Classification using Adaptive Stack Filters
FormatPrinted, On-line.
Year2007
Access Date2024, Apr. 28
Number of Files1
Size501 KiB
2. Context
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, MG, Brazil
Date7-10 Oct. 2007
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:09:43 :: mebuemi@gmail.com -> administrator ::
2009-08-13 20:38:31 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2022-06-14 00:13:38 :: administrator -> :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2007 > Improvement in SAR...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Improvement in SAR...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/R3e7K
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/R3e7K
Languageen
Target Filesib_stack_filter.pdf
User Groupmebuemi@gmail.com
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SF8Q5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.00.14 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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