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Solar Feature Catalogues In Egso

机译:埃索的太阳能特征目录

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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 Hα 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,从数字化的太阳图像创建太阳特征目录(SFC)。该技术用于检测Meudon天文台在Caii K1,Caii K3和Hα中自动标准化的全盘太阳图像中的黑子,活动区域和细丝,以及从SOHO / MDI获得的白光图像和磁图。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(从其公认的参数开始,并交叉引用到原始观测值)构建了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图像中提取的任何可能的信息。因此,可以将信息用于特征起源的更深层调查以及与其他特征的关联,以进行自动分类和太阳活动预测。

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  • 来源
    《Solar Physics》 |2005年第2期|361-375|共15页
  • 作者单位

    Department of Cybernetics Bradford University;

    LESIA The Paris-Meudon Observatory;

    Department of Cybernetics Bradford University;

    Department of Cybernetics Bradford University;

    Department of Cybernetics Bradford University;

    LESIA The Paris-Meudon Observatory;

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