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Solar feature catalogues in EGSO

机译:EGSO中的太阳能特征目录

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The Solar Feature Catalogues (SFCs) are created from digitized solar images using automated pattern recognition techniques developed in the European Grid of Solar Observation (EGSO) project. The techniques were applied for detection of sunspots, active regions and filaments in the automatically standardized full-disk solar images in CaII K1, CaII K3 and H alpha taken at the Meudon Observatory and white-light images and magnetograms from SOHO/MDI. The results of automated recognition are verified with the manual synoptic maps and available statistical data from other observatories that revealed high detection accuracy. A structured database of the Solar Feature Catalogues is built on the MySQL server for every feature from their recognized parameters and cross-referenced to the original observations. The SFCs are published on the Bradford University web site http://www.cyber.brad.ac.uk/egso/SFC/ with the pre-designed web pages for a search by time, size and location. The SFCs with 9 year coverage (1996-2004) provide any possible information that can be extracted from full disk digital solar images. Thus information can be used for deeper investigation of the feature origin and association with other features for their automated classification and solar activity forecast.
机译:使用在欧洲太阳观测网格(EGSO)项目中开发的自动模式识别技术,从数字化太阳图像中创建了太阳特征目录(SFC)。该技术用于检测Meudon天文台拍摄的CaII K1,CaII K3和H alpha中自动标准化的全盘太阳图像中的黑子,活动区域和细丝,以及来自SOHO / MDI的白光图像和磁图。自动识别的结果通过人工天气图和来自其他观测所的可用统计数据进行了验证,这些数据揭示了高检测精度。在MySQL服务器上,针对每个特征(从其可识别的参数开始并交叉引用至原始观测值)建立了Solar Feature Catalogs的结构化数据库。证监会已发布在布拉德福德大学网站http://www.cyber.brad.ac.uk/egso/SFC/上,并带有预先设计的网页,可以按时间,大小和位置进行搜索。覆盖9年(1996-2004年)的SFC提供了可以从全盘数字太阳影像中提取的任何可能的信息。因此,信息可用于对特征起源进行更深入的研究,并与其他特征进行自动分类和太阳活动预测相关联。

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