论文标题
月球和背景删除算法，用于全天空成像仪
Moon and background removal algorithm for all-sky imager
论文作者
论文摘要
全天空成像仪（ASIS）用于从地面记录极光活动，但经常被月亮污染。在这里，我们研究了Themis ASIS数据，并开发了一种算法来消除可以推广到其他类型ASIS的月球。使用我们的算法，月球表面内的ASI像素通常饱和，因此被算法去除。月球发光中的ASI像素接近但不饱和，因此可以通过算法校准，以恢复发光内的极光结构。对于远离月球或没有月亮的像素，该算法可以保留典型的极光形式，从极光彩带的瞬态特征和脉动极光到脉冲弧的更稳定的特征。请注意，该算法不处理云，这是已知的限制。
All-sky imagers (ASIs) are used to record auroral activities from the ground but are often contaminated by the moon. Here, we studied the THEMIS ASIs data and developed an algorithm to eliminate the moon which can be generalized to other types of ASIs. With our algorithm, the ASI pixels within the moon's surface are typically saturated and thus removed by the algorithm. The ASI pixels within the moon's glow are close to but not saturated and thus can be calibrated by the algorithm to recover auroral structures within the glow. For pixels far away from the moon or when there is no moon, the algorithm preserves typical auroral forms, from the transient features of auroral streamers and pulsating aurora to more stable features of pre-onset arcs. Note that the algorithm does not treat clouds, which is a known limitation.
