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		<identifier>8JMKD3MGPBW34M/3CS4LQH</identifier>
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		<isbn>978-85-7669-270-6</isbn>
		<citationkey>MoraesCarvBras:1992:ImMéBa</citationkey>
		<author>Moraes, Ronei Marcos de,</author>
		<author>Carvalho, João Marques de,</author>
		<author>Brasileiro, Marcos A. G.,</author>
		<affiliation>Departamento de Estatística (CCEN) da Universidade Federal da Paraíba (UFPB)</affiliation>
		<affiliation>Departamento de Engenharia Elétrica (CCT) da Universidade Federal da Paraíba (UFPB)</affiliation>
		<affiliation>Departamento de Engenharia Elétrica (CCT) da Universidade Federal da Paraíba (UFPB)</affiliation>
		<title>Implementação de um método Bayesiano contextual multi-espectral viabilizado para classificação de imagens de sensoriamento remoto</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 5 (SIBGRAPI)</conferencename>
		<year>1992</year>
		<editor>Câmara, Gilberto,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<volume>1</volume>
		<booktitle>Anais</booktitle>
		<date>10 - 12 nov. 1992</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Águas de Lindóia</conferencelocation>
		<keywords>método Bayesiano, classificação de imagens, sensoriamento remoto.</keywords>
		<abstract>Systems 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.</abstract>
		<pages>193-202</pages>
		<language>pt</language>
		<type>Mapeamento</type>
		<tertiarytype>Artigo</tertiarytype>
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		<targetfile>23 Implementacao de um metodo bayesiano contextual multi.pdf</targetfile>
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