The analysis and exploration of auroral dynamics are very significant for studying the auroral mechanism. In this paper, a method based on an auroral dynamic process for automatically detecting an auroral event is proposed. We first obtained the local motion information using a multi-scale fluid flow estimator. Then the auroral sequence was represented by the spatiotemporal statistics of local motion vectors. Finally, auroral event-based detection was automatically achieved. The experimental results showed our methods could effectively and accurately detect the required auroral events, and were not dependent on any specified auroral event. The proposed method makes it feasible to statistically analyze a large number of continuous observations based on the auroral dynamic process.%极光动态过程的分析与理解对极光发生机制研究具有重要意义.本文提出了一种基于动态过程的极光事件检测方法.首先利用多尺度流体光流的方法提取出极光的局部运动场信息,然后基于局部运动场时空统计特性表征极光视频序列,最后实现对特殊极光事件的检测.实验结果表明,本文方法能够高效、准确地检索到特殊极光事件,并且检测结果不依赖于目标事件的选择.这一成果为开展基于大量连续观测的极光视频对极光动态过程进行统计分析的研究奠定了基础.
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