| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | marte.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Repository | dpi.inpe.br/sbsr@80/2008/10.20.10.59 | |||
| Last Update | 2009:03.26.14.11.06 (UTC) administrator | |||
| Metadata Repository | dpi.inpe.br/sbsr@80/2008/10.20.10.59.32 | |||
| Metadata Last Update | 2022:07.07.03.41.09 (UTC) administrator | |||
| Secondary Key | INPE-15957-PRE/10566 | |||
| ISBN | 978-85-17-00044-7 | |||
| Citation Key | NascimentoAlKaStNoFo:2009:AvSeÓt | |||
| Title | O algoritmo Support Vector Machines (SVM): avaliação da separação ótima de classes em imagens CCD-CBERS-2  | |||
| Format | DVD, On-line. | |||
| Year | 2009 | |||
| Access Date | 2024, May 27 | |||
| Secondary Type | PRE CN | |||
| Number of Files | 1 | |||
| Size | 738 KiB | |||
| 2. Context | ||||
| Author | 1 Nascimento, Renata Fernandes Figueira 2 Alcântara, Enner Herenio de 3 Kampel, Milton 4 Stech, José Luiz 5 Novo, Evlyn Márcia Leão de Moraes 6 Fonseca, Leila Maria Garcia | |||
| Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHTG 4 8JMKD3MGP5W/3C9JHHN 5 8JMKD3MGP5W/3C9JH39 6 8JMKD3MGP5W/3C9JHLD | |||
| Group | 1 DSR-OBT-INPE-MCT-BR 2 DSR-OBT-INPE-MCT-BR 3 DSR-OBT-INPE-MCT-BR 4 DSR-OBT-INPE-MCT-BR 5 DSR-OBT-INPE-MCT-BR 6 DSR-OBT-INPE-MCT-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais 2 Instituto Nacional de Pesquisas Espaciais 3 Instituto Nacional de Pesquisas Espaciais 4 Instituto Nacional de Pesquisas Espaciais 5 Instituto Nacional de Pesquisas Espaciais 6 Instituto Nacional de Pesquisas Espaciais | |||
| Author e-Mail Address | 1 renata@dsr.inpe.br 2 enner@dsr.inpe.br 3 milton@dsr.inpe.br 4 stech@dsr.inpe.br 5 evlyn@dsr.inpe.br 6 leila@dpi.inpe.br | |||
| Editor | Epiphanio, José Carlos Neves Galvão, Lênio Soares | |||
| e-Mail Address | lise@dpi.inpe.br | |||
| Conference Name | Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR) | |||
| Conference Location | Natal | |||
| Date | 25-30 abr. 2009 | |||
| Publisher | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Publisher City | São José dos Campos | |||
| Pages | 2079-2086 | |||
| Book Title | Anais | |||
| Tertiary Type | Artigo | |||
| Organization | Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| History (UTC) | 2008-11-17 19:24:41 :: renata@dsr.inpe.br -> lise@dpi.inpe.br :: 2008-12-11 11:19:21 :: lise@dpi.inpe.br -> sbsr :: 2008-12-15 20:10:58 :: sbsr -> administrator :: 2009-05-28 12:55:17 :: administrator -> lise@dpi.inpe.br :: 2009-06-16 13:14:47 :: lise@dpi.inpe.br -> marciana :: 2009-06-22 13:55:07 :: marciana -> erich@sid.inpe.br :: 2009-06-26 14:07:51 :: erich@sid.inpe.br -> administrator :: 2009-08-05 01:49:39 :: administrator -> erich@sid.inpe.br :: 2010-05-14 02:40:23 :: erich@sid.inpe.br -> marciana :: 2011-02-16 14:16:51 :: marciana -> administrator :: 2009 2022-07-07 03:41:09 :: administrator -> :: 2009 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Keywords | CBERS image classificação processamento de imagens máquina de suporte de vetores | |||
| Abstract | The aim of this work is to evaluate the support vector machine (SVM) classifier, which is part of a theoretically superior machine learning algorithm. The area surrounding Itumbiara reservoir in the State of Goiás, Brazil, was selected as a case study to carry out the classification of a CCD CBERS-2 image. The classes were defined in accordance with the Land Cover Classification System of the Food and Agriculture Organization of the United Nations (FAO) as Cultivated and Managed terrestrial Areas, Natural and Semi-Natural Vegetation, Artificial Surfaces and Associated Areas, Bare Areas, and Natural and Artificial Waterbodies. Training sets were collected for each class and than the algorithm was applied. Matrix confusion and the Kappa coefficients were used to evaluate the classification algorithm. The computed accuracy was about 75% and the Kappa coefficient 60%. According to these results the optimal class separation by SVM algorithm was considered reasonable good. | |||
| Area | SRE | |||
| Type | CBERS: Avaliação e Aplicações | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > O algoritmo Support... | |||
| doc Directory Content | access | |||
| source Directory Content |
| |||
| agreement Directory Content | there are no files | |||
| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/10.20.10.59 | |||
| zipped data URL | http://urlib.net/zip/dpi.inpe.br/sbsr@80/2008/10.20.10.59 | |||
| Language | pt | |||
| Target File | 2079-2086.pdf | |||
| User Group | administrator renata@dsr.inpe.br lise@dpi.inpe.br marciana erich@sid.inpe.br administrator | |||
| Reader Group | administrator renata@dsr.inpe.br | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | dpi.inpe.br/marte1@80/2009/05.26.17.02 | |||
| Next Higher Units | 8JMKD3MGPCW/3ER446E | |||
| Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.45.43 2 sid.inpe.br/mtc-m21/2012/07.13.14.56.38 1 | |||
| Host Collection | dpi.inpe.br/netuno@1905/2006/07.17.20.18 dpi.inpe.br/banon/2003/12.10.19.30 | |||
| 6. Notes | ||||
| Sponsor | Conselho Nacional de Desenvolvimento Científico e Tecnológico - Cnpq | |||
| Mark | 1 | |||
| Empty Fields | archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle tertiarymark url versiontype volume | |||