Unmanned devices have become extremely threatening weapons in modern confrontation. In complex battlefield environments, equipment such as unmanned aerial vehicles (UAVs), with their large numbers, significantly increases the decision-making time for commanders. It will reduce the pressure on commanders to collect situational intelligence and expedite decision-making by accurately identifying purpose, target point of the UAV. Therefore, research on countering UAVs has become increasingly in-depth. Traditional methods for identifying UAV intentions often overlook many of the UAV's behaviors. Therefore, this paper aims to establish an improved artificial potential field model that takes into account the velocity direction by utilizing the path information of UAVs. Moreover, the model proposed in this paper demonstrates good judgment capabilities even in the presence of obstacles. In summary, we provide a solution for commanders to quickly identify enemy combat intentions.