1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/44B2FGS |
Repositório | sid.inpe.br/mtc-m21c/2021/03.12.16.34 |
Última Atualização | 2021:03.12.16.34.44 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2021/03.12.16.34.44 |
Última Atualização dos Metadados | 2021:03.12.16.50.00 (UTC) administrator |
DOI | 10.1002/essoar.10503135.1 |
ISSN | 2169-8996 2169-897X |
Chave de Citação | MantelliNetoWangPereSobi:2020:HiCoSi |
Título | Hierarchical color similarity metrics for step-wise application on sky monitoring surface cameras |
Ano | 2020 |
Mês | jun. |
Data de Acesso | 01 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 34855 KiB |
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2. Contextualização | |
Autor | 1 Mantelli Neto, Sylvio Luiz 2 von Wangenheim, Aldo 3 Pereira, Enio Bueno 4 Sobieranski, Antonio Carlos |
Identificador de Curriculo | 1 8JMKD3MGP5W/3C9JJ9K 2 3 8JMKD3MGP5W/3C9JH2E |
ORCID | 1 0000-0002-4407-009X 2 3 0000-0002-5095-0085 |
Grupo | 1 COCST-COCST-INPE-MCTIC-GOV-BR 2 3 COCST-COCST-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Universidade Federal de Santa Catarina (UFSC) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Universidade Federal de Santa Catarina (UFSC) |
Endereço de e-Mail do Autor | 1 sylvio.mantelli@inpe.br 2 3 enio.pereira@inpe.br |
Revista | Journal of Geophysical Research: Atmospheres |
Volume | 1 |
Histórico (UTC) | 2021-03-12 16:34:45 :: simone -> administrator :: 2021-03-12 16:34:46 :: administrator -> simone :: 2020 2021-03-12 16:35:20 :: simone -> administrator :: 2020 2021-03-12 16:50:00 :: administrator -> simone :: 2020 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | finaldraft |
Resumo | Digital cameras on the surface are frequently used for monitoring atmospheric conditions. Several methods were developed to use the images for synoptic observations, cloud assessments, short term forecasting and so on. However, there are some restrictions not considered by these methods, especially when a linear camera is used to observe logarithmic ranges of atmospheric luminance. Cameras accommodate the scene to a linear scale causing distortions on pattern distributions by pixel value saturation (PVS) and drifts from its original hues. This brings on some simplifying practices commonly found in the literature to overcome these problems. But those practices result in loss of data, misinterpretation of valid pixels and restriction on the use of computer vision algorithms. The present work begins by illustrating these problems performing supervised learning for two reasons: all observation systems seek out automation of human synoptic observation in order to provide a sound mathematical modeling of the observed patterns. A new modeling paradigm is proposed to map the sky patterns to represent the existent physical atmospheric phenomena not considered by the literature. We validate the proposed method, and compared the results using 1630 images against two well-established methods. A hypothesis test showed that results are compatible with currently used binary approach with advantages. Differences were due to PVS and other restrictions not considered by the methods existent on literature. Finally, the present work concludes that the new paradigm presents more meaningful results of sky patterns interpretation, allows extended daylight observation periods and uses a higher dimensional space. |
Área | CST |
Arranjo | Hierarchical color similarity... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/44B2FGS |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/44B2FGS |
Idioma | en |
Arquivo Alvo | essoar.10503135.1.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher6 allowfinaldraft |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Repositório Espelho | urlib.net/www/2017/11.22.19.04.03 |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F3T29H |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.45.21 7 sid.inpe.br/bibdigital/2013/10.19.20.40 2 sid.inpe.br/mtc-m21/2012/07.13.15.00.44 1 |
Divulgação | WEBSCI |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark nextedition notes number pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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