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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vRSyz
Repositorysid.inpe.br/banon/2002/10.24.10.08
Last Update2002:09.19.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.24.10.08.51
Metadata Last Update2022:06.14.00.11.50 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167165
Citation KeyFreryCribSouz:2002:MiFeAn
TitleMinute feature analysis in speckled imagery
Year2002
Access Date2024, May 01
Number of Files1
Size453 KiB
2. Context
Author1 Frery, Alejandro C.
2 Cribari-Neto, Francisco
3 Souza, Marcelo de O.
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:46 :: administrator -> banon ::
2008-08-26 15:21:22 :: banon -> administrator ::
2009-08-13 20:36:40 :: administrator -> banon ::
2010-08-28 20:00:06 :: banon -> administrator ::
2022-06-14 00:11:50 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractThis paper tackles the problem of estimating the parameters of relevant distributions that describe speckled imagery. Speckle noise appears in data obtained with coherent illumination, as is the case of sonar, laser, ultrasound-B and synthetic aperture radar images. This noise is non-Gaussian and non-additive and, therefore, classical techniques of processing and analysis may fail. A universal parametric statistical model has been proposed for such data, and numerical issues arise when estimating its parameters. In particular, the usual techniques for optimization and for solving systems of non-linear equations often fail to converge and/or to produce acceptable results, specially when dealing with small samples. An alternated method is proposed and assessed, and it is shown to produce sensible results. As an application, real and simulated data are analyzed. We show that the discrimination of minute features in synthetic aperture radar images can be performed using the proposed procedure.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Minute feature analysis...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Minute feature analysis...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/vRSyz
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vRSyz
Languageen
Target File77.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
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