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Reference TypeConference Paper (Conference Proceedings)
Last Update1998: (UTC) administrator
Metadata Last Update2013: (UTC) administrator
Citation KeyCandeias:1996:DrNeEx
TitleDrainage network extraction from a SAREX'92 RADAR image
FormatImpresso, On-line.
Access Date2021, Nov. 29
Number of Files1
Size275 KiB
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AuthorCandeias, Ana Lúcia Bezerra
EditorVelho, Luiz
Albuquerque, Arnaldo de
Lotufo, Roberto A.
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
Conference LocationCaxambu
Date29 out. - 1 nov. 1996
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleAnais
Tertiary TypeArtigo
OrganizationSBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
History (UTC)2008-07-17 14:17:54 :: administrator -> banon ::
2010-08-28 20:04:48 :: banon -> administrator ::
2013-04-05 16:31:15 :: administrator -> banon :: 1996
2013-04-05 16:38:03 :: banon -> administrator :: 1996
2013-04-19 14:14:53 :: administrator -> banon :: 1996
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Is the master or a copy?is the master
Content Stagecompleted
Keywordsimage processing
mathematical morphology
remote sensing
drainage extraction
AbstractThe purpose of this paper is to show how to extract the drainage network from the SAREX project RADAR image using Mathematical Morphology tools. The problem is to find a mapping from a grey level image into a binary image that exhibits the drainage. The selected region is from a test site in Acre, SW Amazonia, Brazil. In RADAR images, the drainage network appears with high contrast and well defined shape. Mathematical Morphology is a theory for spatial structure analysis and aims here at analyzing the shape and the forms of the drainage network. This analysis is based on the set and lattice theories. This paper uses the MMach, a Mathematical Morphology Toolbox for the KHOROS system.
TypeMorfologia Matemática
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