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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3CS4LQH
Repositorysid.inpe.br/sibgrapi/2012/10.23.00.34
Last Update2012:12.07.11.33.15 administrator
Metadatasid.inpe.br/sibgrapi/2012/10.23.00.34.11
Metadata Last Update2013:01.02.22.01.05 administrator
ISBN978-85-7669-270-6
Citation KeyMoraesCarvBras:1992:ImMéBa
TitleImplementação de um método Bayesiano contextual multi-espectral viabilizado para classificação de imagens de sensoriamento remoto
FormatImpresso, On-line.
Year1992
Date10 - 12 nov. 1992
Access Date2020, Dec. 04
Number of Files1
Size7937 KiB
Context area
Author1 Moraes, Ronei Marcos de
2 Carvalho, João Marques de
3 Brasileiro, Marcos A. G.
Affiliation1 Departamento de Estatística (CCEN) da Universidade Federal da Paraíba (UFPB)
2 Departamento de Engenharia Elétrica (CCT) da Universidade Federal da Paraíba (UFPB)
3 Departamento de Engenharia Elétrica (CCT) da Universidade Federal da Paraíba (UFPB)
EditorCâmara, Gilberto
Gomes, Jonas de Miranda
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 5 (SIBGRAPI)
Conference LocationÁguas de Lindóia
Volume1
Book TitleAnais
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
History2012-10-25 15:21:15 :: cintiagraziele.silva@gmail.com -> administrator :: 1992
2012-11-30 12:51:00 :: administrator -> cintiagraziele.silva@gmail.com :: 1992
2012-12-07 11:33:15 :: cintiagraziele.silva@gmail.com -> administrator :: 1992
2013-01-02 22:01:05 :: administrator -> cintiagraziele.silva@gmail.com :: 1992
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Tertiary TypeArtigo
Pages193-202
Keywordsmétodo Bayesiano, classificação de imagens, sensoriamento remoto.
AbstractSystems for contextual classification of images are known in the specialized literature for their good accuracy of results and slowness of computation. For this reason, very few attempts have been made to produce pratical or comercial implementations for this class of algorithms. This paper shows the results of the implementation of a contextual classification method in the SITIM system.
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Target File23 Implementacao de um metodo bayesiano contextual multi.pdf
e-Mail (login)cintiagraziele.silva@gmail.com
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cintiagraziele.silva@gmail.com
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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