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dc.contributor.authorGranados López, Diego 
dc.contributor.authorGarcía Rodríguez, Ana 
dc.contributor.authorGarcía Rodríguez, Sol 
dc.contributor.authorSuárez García, Andrés 
dc.contributor.authorDiez Mediavilla, Montserrat 
dc.contributor.authorAlonso Tristán, Cristina 
dc.date.accessioned2022-01-11T10:29:25Z
dc.date.available2022-01-11T10:29:25Z
dc.date.issued2021-12
dc.identifier.issn1076-2787
dc.identifier.urihttp://hdl.handle.net/10259/6322
dc.description.abstractDigital sky images are studied for the definition of sky conditions in accordance with the CIE Standard General Sky Guide. Likewise, adequate image-processing methods are analyzed that highlight key image information, prior to the application of Artificial Neural Network classification algorithms. Twenty-two image-processing methods are reviewed and applied to a broad and unbiased dataset of 1500 sky images recorded in Burgos, Spain, over an extensive experimental campaign. The dataset comprises one hundred images of each CIE standard sky type, previously classified from simultaneous sky scanner data. Color spaces, spectral features, and texture filters image-processing methods are applied. While the use of the traditional RGB color space for image-processing yielded good results (ANN accuracy equal to 86.6%), other color spaces, such as Hue Saturation Value (HSV), which may be more appropriate, increased the accuracy of their global classifications. The use of either the green or the blue monochromatic channels improved sky classification, both for the fifteen CIE standard sky types and for simpler classification into clear, partial, and overcast conditions. The main conclusion was that specific image-processing methods could improve ANN-algorithm accuracy, depending on the image information required for the classification problem.en
dc.description.sponsorshipRegional Government of Castilla y León under the “Support Program for Recognized Research Groups of Public Universities of Castilla y León” (BU021G19) and the Spanish Ministry 595 of Science and Innovation under the I + D + i state program “Challenges Research Projects” (Ref. RTI2018-098900-B-I00). Diego Granados López expresses his thanks for economic support from the Junta de Castilla-León (PIRTU Program, ORDEN EDU/556/2019).en
dc.format.mimetypeapplication/pdf
dc.language.isoengen
dc.publisherHindawien
dc.relation.ispartofComplexity. 2021, V. 2021, art. ID 2636157en
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherIngeniería eléctricaes
dc.subject.otherElectric engineeringen
dc.subject.otherMeteorologíaes
dc.subject.otherMeteorologyen
dc.subject.otherInformáticaes
dc.subject.otherComputer scienceen
dc.titlePixel-Based Image Processing for CIE Standard Sky Classification through ANNes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.publisherversionhttps://doi.org/10.1155/2021/2636157en
dc.identifier.doi10.1155/2021/2636157
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Castilla y León//BU021G19
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-098900-B-I00/ES/ANALISIS ESPECTRAL DE LA RADIACION SOLAR: APLICACIONES CLIMATICAS, ENERGETICAS Y BIOLOGICASes
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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