1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/vRSyz |
Repository | sid.inpe.br/banon/2002/10.24.10.08 |
Last Update | 2002:09.19.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/10.24.10.08.51 |
Metadata Last Update | 2022:06.14.00.11.50 (UTC) administrator |
DOI | 10.1109/SIBGRA.2002.1167165 |
Citation Key | FreryCribSouz:2002:MiFeAn |
Title | Minute feature analysis in speckled imagery |
Year | 2002 |
Access Date | 2024, Oct. 08 |
Number of Files | 1 |
Size | 453 KiB |
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2. Context | |
Author | 1 Frery, Alejandro C. 2 Cribari-Neto, Francisco 3 Souza, Marcelo de O. |
Editor | Gonçalves, Luiz Marcos Garcia Musse, Soraia Raupp Comba, João Luiz Dihl Giraldi, Gilson Dreux, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI) |
Conference Location | Fortaleza, CE, Brazil |
Date | 10-10 Oct. 2002 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - 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 |
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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 |
Abstract | This 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Minute feature analysis... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Minute feature analysis... |
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/6qtX3pFwXQZeBBx/vRSyz |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/vRSyz |
Language | en |
Target File | 77.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QCSHP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.01.04.11 36 sid.inpe.br/sibgrapi/2022/06.10.21.49 2 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Fortaleza, CE, Brazil, from October 7 to 10. |
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