Auroral event detection using spatiotemporal statistics of local motion vectors  

作　　者：WANG Qian LIANG Jimin HU Zejun 

机构地区：[1]Image and Information Processing Research Center,Xi'an University of Posts and Telecommunications [2]SOA Key Laboratory for Polar Science,Polar Research Institute of China [3]Life Sciences Research Center,School of Life Sciences and Technology,Xidian University

出　　处：《Advances in Polar Science》2013年第3期175-182,共8页极地科学进展（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant nos.41274164,41031064);the Ocean Public Welfare Scientific Research Project of China(Grant no.201005017);the Foundation of Shaanxi Educational Committee(Grant no.12JK0543);the Youth Research Project of the Xi'an University of Posts and Telecommunications(Grant no.ZL2012-01)

摘　　要：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.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.

关 键 词：automatic detection auroral event fluid flow 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]