1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 83LX3pFwXQZW44Lb/czEBy |
Repository | dpi.inpe.br/ambro/1998/03.27.14.44 |
Last Update | 1998:06.16.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2001/03.30.15.56.14 |
Metadata Last Update | 2022:06.14.00.16.53 (UTC) administrator |
Citation Key | FreryYanVieSanRen:1997:UsSySy |
Title | A user-friendly system for synthetic aperture radar image classification based on grayscale distributional properties and context |
Year | 1997 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 288 KiB |
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2. Context | |
Author | 1 Frery, Alejandro C. 2 Yanasse, Corina da C. F. 3 Vieira, Pedro R. 4 Santanna, Sidnei J. S. 5 Renno, Camilo D. |
Editor | Figueiredo, Luiz Henrique de Netto, Marcio Lobo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 10 (SIBGRAPI) |
Conference Location | Campos de Jordão, SP, Brazil |
Date | Oct. 1997 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 211-218 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | classification image interface radar sar speckle system |
Abstract | The 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 1997 > A user-friendly system... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A user-friendly system... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/83LX3pFwXQZW44Lb/czEBy |
zipped data URL | http://urlib.net/zip/83LX3pFwXQZW44Lb/czEBy |
Language | en |
Target File | art06.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46RL7SS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.23.46 7 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Campos de Jordão, SP, Brazil, from October 13 to 16. |
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