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Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier83LX3pFwXQZeBBx/AryH
Repositorydpi.inpe.br/banon/1995/09.27.15.54
Last Update2013:01.12.17.30.46 administrator
Metadatasid.inpe.br/banon/2001/03.30.15.38.37
Metadata Last Update2021:02.20.04.23.30 administrator
ISBN978-85-7669-271-3
Citation KeyBanonCand:1993:ReImNO
TitleRestauração de imagens NOAA por morfologia matemática
FormatImpresso, On-line.
Year1993
Access Date2021, Mar. 07
Number of Files2
Size5445 KiB
Context area
Author1 Banon, Gerald Jean Francis
2 Candeias, Ana Lúcia Bezerra
Resume Identifier1 8JMKD3MGP5W/3C9EMTE
ORCID1 0000-0001-6942-4440
Group1 DPI-INPE-MCT-BR
2 DPI-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
EditorFigueiredo, Luiz Henrique de
Gomes, Jonas de Miranda
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Volume1
Pages139-145
Book TitleAnais
Tertiary TypeArtigo
History2009-08-13 20:35:49 :: administrator -> banon ::
2013-01-12 16:46:01 :: banon -> administrator :: 1993
2013-01-12 16:57:24 :: administrator -> banon :: 1993
2013-01-12 17:23:04 :: banon -> administrator :: 1993
2013-01-12 17:27:54 :: administrator -> banon :: 1993
2013-01-12 20:40:36 :: banon -> administrator :: 1993
2013-01-12 20:56:01 :: administrator -> banon :: 1993
2013-01-12 21:02:35 :: banon -> administrator :: 1993
2021-02-20 04:23:30 :: administrator -> banon :: 1993
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsmathematical morphology, remote sensing, adaptive filtering, NOAA image, stripe, image processing, morfologia matemática, sensoriamento remoto, filtragem adaptativa, imagem NOAA, ruido, processamento de imagens.
AbstractThe striping effect on NOAA image can be reduced by using the Mathematical Morphology tools. At the first stage, the corrupted pixels are localized and, at the second stage, their values are interpolated from the uncorrupted neighbored pixel values. The implemented algorithm uses the Mathematical Morphology Toolbox for the KHOROS system.
TypeProcessamento de Imagens II
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source Directory Contentthere are no files
agreement Directory Contentthere are no files
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data URLhttp://urlib.net/rep/83LX3pFwXQZeBBx/AryH
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZeBBx/AryH
Languagept
Target Fileartigo9.pdf
User Groupadministrator
banon
Visibilityshown
Read Permissionallow from all
Allied materials area
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPCW/3EQCCU5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
NotesThis document is the manuscript.
The scanned copy of the paper in the printed proceedings is in the file called "17 Restauracao de imagens NOAA.pdf" (in the doc directory).
This work has been supported by CNPq under contract 300966/90-3.
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