When optical navigation images acquired by the OSIRIS‐REx (Origins, Spectral Interpretation, Resource Identification, and Security‐Regolith Explorer) mission revealed the periodic ejection of particles from asteroid (101955) Bennu, it became a mission priority to quickly identify and track these objects for both spacecraft safety and scientific purposes. The large number of particles and the mission criticality rendered time‐intensive manual inspection impractical. We present autonomous techniques for particle detection and tracking that were developed in response to the Bennu phenomenon but that have the capacity for general application to particles in motion about a celestial body. In an example OSIRIS‐REx data set, our autonomous techniques identified 93.6% of real particle tracks and nearly doubled the number of tracks detected versus manual inspection alone.

中文翻译：

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自主检测光学图像中的粒子和轨迹

当OSIRIS-REx（原始物，光谱解释，资源识别和安全性-Regolith Explorer）飞行任务获取的光学导航图像显示出定期从小行星（101955）Bennu弹出粒子时，迅速识别并跟踪这些小行星成为任务的优先事项出于航天器安全和科学目的的目的。大量的粒子和任务的关键性使得时间密集的手动检查变得不切实际。我们提出了针对粒子探测和跟踪的自主技术，这些技术是针对Bennu现象而开发的，但是具有普遍应用于绕天体运动的粒子的能力。在OSIRIS‐REx数据集示例中，我们的自主技术确定了93个。