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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZW44Lb/czEBy
Repositorydpi.inpe.br/ambro/1998/03.27.14.44
Last Update1998:06.16.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.56.14
Metadata Last Update2022:06.14.00.16.53 (UTC) administrator
Citation KeyFreryYanVieSanRen:1997:UsSySy
TitleA user-friendly system for synthetic aperture radar image classification based on grayscale distributional properties and context
Year1997
Access Date2024, May 03
Number of Files1
Size288 KiB
2. Context
Author1 Frery, Alejandro C.
2 Yanasse, Corina da C. F.
3 Vieira, Pedro R.
4 Santanna, Sidnei J. S.
5 Renno, Camilo D.
EditorFigueiredo, Luiz Henrique de
Netto, Marcio Lobo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI)
Conference LocationCampos de Jordão, SP, Brazil
DateOct. 1997
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Pages211-218
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação; USP - Universidade de São Paulo
History (UTC)2008-07-17 14:17:56 :: administrator -> banon ::
2008-08-26 15:26:28 :: banon -> administrator ::
2009-08-13 20:36:05 :: administrator -> banon ::
2010-08-28 20:04:51 :: banon -> administrator ::
2022-06-14 00:16:53 :: administrator -> :: 1997
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsclassification
image
interface
radar
sar
speckle
system
AbstractThe purpose of this paper is to present a system for the analysis and classification of Synthetic Aperture Radar (SAR) images. This system, unlike most of its competitors, allows a careful modeling of the statistical properties of the data beyond the usual Gaussian hypothesis. The modeling tools include basic descriptive measures and the choice of suited distributions, through goodness-of-fit tests, to model the data. The classification tools offer the choice between pointwise and contextual (Markovian) techniques, and the quantitative assessment of the quality of the results. The system is goal-driven, and its interfaces are solely based on pull-down menus; the user is prompted with the correct sequence of operations, whenever an invalid option is invoked. An example of the use of this system for the classification of a SAR image is presented.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1997 > A user-friendly system...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A user-friendly system...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/czEBy
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/czEBy
Languageen
Target Fileart06.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RL7SS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.23.46 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16.
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