Geomagnetic anomaly identification of small sample flow earthquake under two-stage time-space alignment

Abstract In the process of earthquake geomagnetic monitoring, the earth’s magnetic field changes subtly, and it is difficult to accurately determine the distribution state of abnormal characteristic frequency bands, which leads to low signal-to-noise ratio and high variance of iteration times in geomagnetic anomaly identification. Therefore, a small sample mobile earthquake geomagnetic anomaly identification based on two-stage space-time alignment is proposed. Setting two stages of action time alignment and action evolution alignment, analyzing each independent feature of small-sample mobile seismic geomagnetic signal under the two stages of time-space alignment, calculating the proportion of each abnormal feature frequency band in the total energy, forming a structural seismic geomagnetic anomaly feature vector, and obtaining the acquisition result of small-sample mobile seismic geomagnetic signal; According to the acquisition results, the geomagnetic anomaly identification steps of small sample mobile earthquake are set to realize anomaly identification. The experimental results show that the proposed method can identify geomagnetic anomalies of small-sample mobile earthquakes under different working conditions and determine the distribution of geomagnetic depth. The signal-to-noise ratio of the proposed method is higher than that of the contrast method, and the variance of iteration times is lower than that of the contrast method, which has a remarkable identification effect and maintains good convergence and stability.