Anomaly Detection of Target Dynamics Based on Clustering

摘要

Battlefield data analysis plays an important role in warfare. In this paper, the anomaly detection problem of group target dynamics on the battlefield is taken as the research object, and an anomaly detection process based on DBSCAN clustering algorithm is designed. The simulation proves that the anomaly detection process has preferably applicability.