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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/44B2FGS
Repositorysid.inpe.br/mtc-m21c/2021/03.12.16.34
Last Update2021:03.12.16.34.44 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.12.16.34.44
Metadata Last Update2021:03.12.16.50.00 (UTC) administrator
DOI10.1002/essoar.10503135.1
ISSN2169-8996
2169-897X
Citation KeyMantelliNetoWangPereSobi:2020:HiCoSi
TitleHierarchical color similarity metrics for step-wise application on sky monitoring surface cameras
Year2020
Monthjun.
Access Date2024, May 16
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size34855 KiB
2. Context
Author1 Mantelli Neto, Sylvio Luiz
2 von Wangenheim, Aldo
3 Pereira, Enio Bueno
4 Sobieranski, Antonio Carlos
Resume Identifier1 8JMKD3MGP5W/3C9JJ9K
2
3 8JMKD3MGP5W/3C9JH2E
ORCID1 0000-0002-4407-009X
2
3 0000-0002-5095-0085
Group1 COCST-COCST-INPE-MCTIC-GOV-BR
2
3 COCST-COCST-INPE-MCTIC-GOV-BR
Affiliation1 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)
Author e-Mail Address1 sylvio.mantelli@inpe.br
2
3 enio.pereira@inpe.br
JournalJournal of Geophysical Research: Atmospheres
Volume1
History (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
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
AbstractDigital 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.
AreaCST
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Hierarchical color similarity...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/44B2FGS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/44B2FGS
Languageen
Target Fileessoar.10503135.1.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher6 allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2017/11.22.19.04.03
Next Higher Units8JMKD3MGPCW/3F3T29H
Citing Item Listsid.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
DisseminationWEBSCI
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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