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arXiv 0905.3055astro-ph.SR
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使用全盘H-α图像自动检测细丝及其消失

Automated Detection of Filaments and their Disappearance using Full Disc H-alpha Images

Anand D. Joshi, Nandita Srivastava, Shibu K. Mathew

摘要:

开发了一种新的算法,可以自动检测H-α图像中太阳圆盘上的细丝。H-alpha图像的预处理包括对边缘变暗和透视缩短的校正。此外,通过应用合适的强度和尺寸阈值,提取细丝,同时去除其他太阳特征,例如太阳黑子和谱斑。细丝的属性,如它们在太阳盘上的位置,总面积,长度和碎片的数量被确定。此外,每根细丝还标有唯一的编号。该算法能够通过连续的图像跟踪特定的细丝,这使我们能够检测到相同的变化和消失,从而提供喷发细丝的实时警告。这一方面将证明对有关空间天气的研究特别重要。该算法最终将与乌代布尔太阳观测站即将推出的望远镜集成,用于实时监测激活/爆发的灯丝。

英文摘要:

A new algorithm is developed that automatically detects filaments on the solar disc in H-alpha images. Preprocessing of H-alpha images include corrections for limb darkening and foreshortening. Further, by applying suitable intensity and size thresholds, filaments are extracted, while other solar features e.g. sunspots and plages are removed. Filaments attributes such as their position on the solar disc, total area, length, and number of fragments are determined. In addition, every filament is also labelled with a unique number. The algorithm is capable of following a particular filament through successive images which allows us to detect the changes and disappearance of the same, and thus provides a real-time warning of eruptive filaments. This aspect would prove to be of particular importance in studies pertaining to space weather. The algorithm will eventually be integrated with an upcoming telescope at Udaipur Solar Observatory for real time monitoring of activated/eruptive filaments.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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