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Reference TypeConference Paper (Conference Proceedings)
Sitemarte2.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP6W34M/3PSMBRH
Repositorysid.inpe.br/marte2/2017/10.27.15.34.54
Last Update2017:10.27.15.34.54 administrator
Metadatasid.inpe.br/marte2/2017/10.27.15.34.55
Metadata Last Update2021:03.06.19.30.36 administrator
ISBN978-85-17-00088-1
Label59337
Citation KeyReisSantDutr:2017:ClCoTe
TitleClassificação de cobertura da terra utilizando dados óticos e de radar de abertura sintética em diferentes níveis de detalhamento
FormatInternet
Year2017
Access Date2021, Apr. 11
Number of Files1
Size1097 KiB
Context area
Author1 Reis, Mariane Souza
2 Sant'Anna, Sidnei João Siqueira
3 Dutra, Luciano Vieira
Resume Identifier1
2 8JMKD3MGP5W/3C9JJ8N
3 8JMKD3MGP5W/3C9JHMA
Group1 CST-CST-SESPG-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 reis@dpi.inpe.br
EditorGherardi, Douglas Francisco Marcolino
Aragão, Luiz Eduardo Oliveira e Cruz de
e-Mail Addressdaniela.seki@inpe.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
Conference LocationSantos
Date28-31 maio 2017
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages5864-5871
Book TitleAnais
Secondary TypePRE CN
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History2017-10-27 15:34:55 :: banon -> administrator ::
2021-03-06 19:30:36 :: administrator -> simone :: 2017
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AbstractThe use of Synthetic Aperture Radar (SAR) data, sole or fused/combined to optical data, is interesting in regions like the Brazilian Amazon, in which cloud cover is constant. Many works has been done in the region, comparing classifications obtained from SAR, optical or fused data. In general, optical data has shown better results than SAR data. Fused data has either presented better, comparable or worse results. This paper presents land cover classifications for a region in low Tapajós River, in the Brazilian Amazon, using optical, SAR and fused data, using three legends, with different level of detail (number of classes). It was observed that the lower is the number of classes, the higher is the accuracy of the classification. Although optical results were better for all legends level, results obtained from SAR data is comparable to those when using a small number of classes. In addition, some classes where better classified using specific type of data.
AreaSRE
TypeClassificação e mineração de dados
Arrangementurlib.net > BDMCI > Fonds > Produção > CST > Classificação de cobertura...
source Directory Contentthere are no files
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data URLhttp://urlib.net/rep/8JMKD3MGP6W34M/3PSMBRH
zipped data URLhttp://urlib.net/zip/8JMKD3MGP6W34M/3PSMBRH
Languagept
Target File59337.pdf
User Groupbanon
Visibilityshown
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Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGP6W34M/3PMFNUS
8JMKD3MGPCW/449U4PL
Host Collectiondpi.inpe.br/marte2/2013/05.17.15.03.06
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