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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/37NQQL8
Repositóriodpi.inpe.br/plutao@80/2010/06.25.15.10
Última Atualização2013:01.31.17.00.09 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/plutao@80/2010/06.25.15.10.20
Última Atualização dos Metadados2021:02.10.18.35.18 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1175/2010JTECHA1353.1
ISSN0739-0572
Rótulolattes: 0638551133292550 3 MantelliNetoWangPereComu:2010:UsEuGe
Chave de CitaçãoMantelliNetoWangPereComu:2010:UsEuGe
TítuloThe use of Euclidean geometric distance on RGB color space for classification of sky and cloud patterns
Ano2010
Data de Acesso07 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2954 KiB
2. Contextualização
Autor1 Mantelli Neto, Sylvio Luiz
2 Wangenheim, Aldo von
3 Pereira, Enio Bueno
4 Comunello, Eros
Grupo1 CPT-CPT-INPE-MCT-BR
2 CST-CST-INPE-MCT-BR
3 CST-CST-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 University of Itajai Valley
Endereço de e-Mail do Autor1 sylvio@lepten.ufsc.br
2 enio.pereira@cptec.inpe.br
Endereço de e-Mailenio.pereira@cptec.inpe.br
RevistaJournal of Atmospheric and Oceanic Technology
Volume27
Número9
Páginas1504-1517
Nota SecundáriaB1_ENGENHARIAS_II A2_GEOCIÊNCIAS A2_INTERDISCIPLINAR
Histórico (UTC)2010-06-29 12:04:19 :: lattes -> administrator :: 2010
2010-11-17 21:30:25 :: administrator -> marciana :: 2010
2011-02-24 19:05:12 :: marciana -> administrator :: 2010
2012-07-13 00:20:11 :: administrator -> marciana :: 2010
2013-01-31 17:00:09 :: marciana -> administrator :: 2010
2021-02-10 18:35:18 :: administrator -> marciana :: 2010
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveeuclidean algorithm
central limit theorem
zenith distance
clouds
sky
astronomical photometry
ResumoThe current work describes the use of multidimensional Euclidean geometric distance (EGD) and Bayesian methods to characterize and classify the sky and cloud patterns present in image pixels. From specific images and using visualization tools, it was noticed that sky and cloud patterns occupy a typical locus on the red-green-blue (RGB) color space. These two patterns were linearly distributed parallel to the RGB cube's main diagonal at distinct distances. A characterization of the cloud and sky patterns EGD was done by supervision to eliminate errors due to outlier patterns in the analysis. The exploratory data analysis of EGD for sky and cloud patterns showed a Gaussian distribution, allowing generalizations based on the central limit theorem. An intensity scale of brightness is proposed from the Euclidean geometric projection (EGP) on the RGB cube's main diagonal. An EGD-based classification method was adapted to be properly compared with existing ones found in related literature, because they restrict the examined color-space domain. Elimination of this limitation was considered a sufficient criterion for a classification system that has resource restrictions. The EGD-adapted results showed a correlation of 97.9% for clouds and 98.4% for sky when compared to established classification methods. It was also observed that EGD was able to classify cloud and sky patterns invariant to their brightness attributes and with reduced variability because of the sun zenith angle changes. In addition, it was observed that Mie scattering could be noticed and eliminated (together with the reflector's dust) as an outlier during the analysis. Although Mie scattering could be classified with additional analysis, this is left as a suggestion for future work.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > The use of...
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/J8LNKAN8RW/37NQQL8
URL dos dados zipadoshttp://urlib.net/zip/J8LNKAN8RW/37NQQL8
Idiomaen
Grupo de Usuáriosadministrator
lattes
marciana
Visibilidadeshown
Política de Arquivamentodenypublisher6 allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
8JMKD3MGPCW/3F3T29H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.06.18.03 1
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasSetores de Atividade: Pesquisa e desenvolvimento científico.
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate session shorttitle sponsor subject targetfile tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)marciana
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