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dc.contributor.authorColak, Tufan*
dc.contributor.authorQahwaji, Rami S.R.*
dc.date.accessioned2016-01-28T13:37:01Z
dc.date.available2016-01-28T13:37:01Z
dc.date.issued2013-03
dc.identifier.citationColak T and Qahwaji RSR (2013) Prediction of Extreme Ultaviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irrandiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images using Fuzzy Image Processing and Machine Learning. Solar Physics. 283(1): 143-156.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7729
dc.descriptionYesen_US
dc.description.abstractThe cadence and resolution of solar images have been increasing dramatically with the launch of new spacecraft such as STEREO and SDO. This increase in data volume provides new opportunities for solar researchers, but the efficient processing and analysis of these data create new challenges. We introduce a fuzzy-based solar feature-detection system in this article. The proposed system processes SDO/AIA images using fuzzy rules to detect coronal holes and active regions. This system is fast and it can handle different size images. It is tested on six months of solar data (1 October 2010 to 31 March 2011) to generate filling factors (ratio of area of solar feature to area of rest of the solar disc) for active regions and coronal holes. These filling factors are then compared to SDO/EVE/ESP irradiance measurements. The correlation between active-region filling factors and irradiance measurements is found to be very high, which has encouraged us to design a time-series prediction system using Radial Basis Function Networks to predict ESP irradiance measurements from our generated filling factors.en_US
dc.language.isoenen_US
dc.rights(c) 2013 Springer Netherlands. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectSolar imaging; SDO/AIA; SDO/EVE; Irradiance constructionen_US
dc.titlePrediction of Extreme Ultraviolet Variability Experiment (EVE)/Extreme Ultraviolet Spectro-Photometer (ESP) Irradiance from Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) Images Using Fuzzy Image Processing and Machine Learningen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/10.1007/s11207-011-9880-9
refterms.dateFOA2018-07-25T12:10:28Z


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