Auroral Substorm Event Recognition Method Combining Eye Movement Information and Sequence Fingerprint.

The occurrence process, effects, and models of the auroral substorm phenomenon has been one of the most important frontier topics in solar- terrestrial physics in past 30 years. The ultraviolet imager (UVI) carried by the polar satellite collects a very large number of ultraviolet auroral images every year. Automatically and accurately identifying substorm events from massive UVI images is an urgent problem in this field. At present, there are some studies on the detection and recognition of auroral substorm events. These methods effectively use the physical characteristics of substorm events, but none of them use expert visual cognition information as a priori for substorm events recognition task. Therefore, in this paper, eye movement information is used as a visual and intuitive representation of expert knowledge, and combined with the physical characteristics of the auroral substorm sequences, an auroral substorm event recognition method combining eye movement information and sequence fingerprint is proposed. Firstly, this paper uses the eye tracker to obtain the eye movement information of space physics experts on the auroral substorm sequence. Secondly, substorm events are marked according to their physical characteristics to obtain the sequence fingerprint of each auroral substorm event. Finally, the recognition of substorm events is identified based on expert eye movement information and sequence fingerprint identification strategy. At the same time, experiments show the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]