太阳磁亮点的自动探测与跟踪
Automated Detection and Tracking of Solar Magnetic Bright Points
摘要：
互联网络中的磁亮点（Magnetic Bright Points，MBPs）是太阳光球层中最小的天体之一，在周围环境中显得明亮。提出了一种算法，可用于在空间和时间域中的MBP的自动检测。该算法的工作原理是通过强度阈值来映射车道。指南针搜索，结合对检测到的物体的强度梯度的研究，允许从颗粒内的明亮像素中解开MBP。实现对象增长是为了考虑在映射车道时可能已被移除的任何像素。通过定位可能由于可变的光照水平和视觉质量而错过的长寿物体来稳定图像。使用瑞典太阳望远镜（SST）采集的数据对算法进行的测试表明，在75 "x 75"视场内检测到约90%的MBP。
英文摘要：
Magnetic Bright Points (MBPs) in the internetwork are among the smallest objects in the solar photosphere and appear bright against the ambient environment. An algorithm is presented that can be used for the automated detection of the MBPs in the spatial and temporal domains. The algorithm works by mapping the lanes through intensity thresholding. A compass search, combined with a study of the intensity gradient across the detected objects, allows the disentanglement of MBPs from bright pixels within the granules. Object growing is implemented to account for any pixels that might have been removed when mapping the lanes. The images are stabilized by locating long-lived objects that may have been missed due to variable light levels and seeing quality. Tests of the algorithm employing data taken with the Swedish Solar Telescope (SST), reveal that ~90% of MBPs within a 75"x 75" field of view are detected.
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