| 1. Identity statement | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
| Identifier | 83LX3pFwXQZ4BFjAq/jiHkE |
| Repository | dpi.inpe.br/vagner/1999/11.29.09.46 |
| Last Update | 2000:01.03.02.00.00 (UTC) administrator |
| Metadata Repository | sid.inpe.br/banon/2001/03.30.15.58.16 |
| Metadata Last Update | 2022:06.14.00.17.09 (UTC) administrator |
| DOI | 10.1109/SIBGRA.1999.805742 |
| Citation Key | Jacobo-BerllesMejaFrer:1999:GADiTr |
| Title | The GAO distribution as the true model for SAR images  |
| Year | 1999 |
| Access Date | 2024, May 02 |
| Number of Files | 3 |
| Size | 523 KiB |
| 2. Context | |
| Author | 1 Jacobo-Berlles, Julio 2 Mejail, Marta E. 3 Frery, Alejandro C. |
| Editor | Stolfi, Jorge Tozzi, Clésio Luis |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 12 (SIBGRAPI) |
| Conference Location | Campinas, SP, Brazil |
| Date | 17-20 Oct. 1999 |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Pages | 327-336 |
| Book Title | Proceedings |
| Tertiary Type | Full Paper |
| Organization | SBC - Brazilian Computer Society and UNICAMP - University of Campinas |
| History (UTC) | 2008-07-17 14:18:00 :: administrator -> banon :: 2008-08-26 15:23:58 :: banon -> administrator :: 2009-08-13 20:36:24 :: administrator -> banon :: 2010-08-28 20:04:55 :: banon -> administrator :: 2022-06-14 00:17:09 :: administrator -> :: 1999 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Version Type | finaldraft |
| Keywords | gao distribution sar images |
| Abstract | For many SAR sensors, urban areas, forests and pasture areas have a growing degree of homogeneity, and for each one of these region types there is a distribution class that fits the data best. In this work, the feasibility of using the GAO distribution as a general model is studied, and the practical usefulness of this proposal is shown. The GAO distribution will be adopted as the true model, and its locally estimated parameters will be used for classification of synthetic and real SAR images. |
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 1999 > The GAO distribution... |
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > The GAO distribution... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| data URL | http://urlib.net/ibi/83LX3pFwXQZ4BFjAq/jiHkE |
| zipped data URL | http://urlib.net/zip/83LX3pFwXQZ4BFjAq/jiHkE |
| Target File | 043-07857927.pdf |
| User Group | administrator |
| Visibility | shown |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPEW34M/46PDF8P 8JMKD3MGPEW34M/4742MCS |
| Citing Item List | sid.inpe.br/sibgrapi/2022/04.25.03.44 4 |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| 6. Notes | |
| Notes | The conference was held in Campinas, SP, Brazil, from October 17 to 20. |
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