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Automatic Tracking of Active Regions and Detection of Solar Flares in Solar EUV Images

机译:太阳EUV图像中活动区域的自动跟踪和太阳耀斑的检测

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摘要

Solar catalogs are frequently handmade by experts using a manual approach or semi-automated approach. The appearance of new tools is very useful because the work is automated. Nowadays it is impossible to produce solar catalogs using these methods, because of the emergence of new spacecraft that provide a huge amount of information. In this article an automated system for detecting and tracking active regions and solar flares throughout their evolution using the Extreme UV Imaging Telescope (EIT) on the Solar and Heliospheric Observatory (SOHO) spacecraft is presented. The system is quite complex and consists of different phases: i) acquisition and preprocessing; ii) segmentation of regions of interest; iii) clustering of these regions to form candidate active regions which can become active regions; iv) tracking of active regions; v) detection of solar flares. This article describes all phases, but focuses on the phases of tracking and detection of active regions and solar flares. The system relies on consecutive solar images using a rotation law to track the active regions. Also, graphs of the evolution of a region and solar evolution are presented to detect solar flares. The procedure developed has been tested on 3500 full-disk solar images (corresponding to 35 days) taken from the spacecraft. More than 75 % of the active regions are tracked and more than 85 % of the solar flares are detected.
机译:太阳能目录通常由专家使用手动方法或半自动方法手工制作。新工具的出现非常有用,因为工作是自动化的。如今,由于出现了可提供大量信息的新型航天器,因此无法使用这些方法制作太阳能目录。在本文中,提出了一种自动系统,该系统使用太阳和日球天文台(SOHO)航天器上的极紫外成像望远镜(EIT)检测和跟踪活动区域和太阳耀斑的整个演变过程。该系统非常复杂,包括不同的阶段:i)采集和预处理; ii)分割感兴趣的区域; iii)将这些区域聚类以形成候选活性区域,其可以变为活性区域; iv)跟踪活动区域; v)检测太阳耀斑。本文介绍了所有阶段,但着重于跟踪和检测活动区域和太阳耀斑的阶段。该系统依靠使用旋转定律的连续太阳图像来跟踪活动区域。此外,还提供了区域演化和太阳演化的图表以检测太阳耀斑。已开发的程序已在从航天器拍摄的3500张全盘太阳影像(相当于35天)上进行了测试。跟踪了超过75%的活动区域,并检测到超过85%的太阳耀斑。

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