Auroral event detection using spatiotemporal statistics of local motion vectors

The analysis and exploration of auroral dynamics are very significant for studying auroral mechanisms. This paper proposes a method based on auroral dynamic processes for detecting auroral events automatically. We first obtained the motion fields using the multiscale fluid flow estimator. Then, the auroral video frame sequence was represented by the spatiotemporal statistics of local motion vectors. Finally, automatic auroral event detection was achieved. The experimental results show that our methods could detect the required auroral events effectively and accurately, and that the detections were independent on any specific auroral event. The proposed method makes it feasible to statistically analyze a large number of continuous observations based on the auroral dynamic process.

基于局部运动向量时空统计的极光事件检测

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。