Dataset of Solar Active Regions in the Solar Full-disk Magnetograms
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摘要: 太阳活动区是太阳剧烈爆发活动如太阳耀斑和日冕物质抛射等的重要源区，对于太阳活动区的识别有助于预报太阳剧烈活动对地球环境的影响。本数据集使用2010年至2019年来自太阳动力学天文台（SDO）搭载的日震与磁像仪（HMI）拍摄的的间隔720秒的太阳全日面视向磁图数据产品，结合SolarMonitor网站给出的美国国家海洋和大气管理局（NOAA）活动区编号，并基于传统图像处理算法的识别方法结合人工标注进行了磁图中活动区的标注。本数据集包含6975张每天间隔12小时的太阳全日面视向磁图，给出了每张磁图上的活动区位置信息，共19098个活动区标注。本数据集旨在为基于深度学习识别活动区的算法提供一个标准训练集，从而为空间天气预报提供数据支持。
Abstract: Solar active regions are key source regions of intense solar phenomena such as solar flares and coronal mass ejections (CMEs). Accurate identification of these regions can help forecast the impact of solar activities on Earth's environment. This dataset utilizes solar full-disk magnetograms observed by the Helioseismic and Magnetic Imager onboard the Solar Dynamic Observatory (2010-2019), combined with NOAA AR numbers provided by the SolarMonitor website. The active regions are annotated using an image processing-based recognition method along with manual labeling. The dataset consists of 6,975 solar full-disk magnetograms, taken every 12 hours, with a total numbe of 19,098 annotations consisting of the active-region informationfor each magnetogram.This dataset serves as a benchmark resource for developing deep learning solar active region detection models, and aims to enhance predictive capabilities for severe space weather phenomena through physics-informed training samples.
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