维和背景下智能态势侦测系统设计OA

In order to realize the real-time perception of the operational scene in overseas peacekeeping mission area,and improve the adaptability of reconnaissance equipment to complex environment and the efficiency of threat judgment of detection system,technologies such as target positioning and recognition,multimodal information fusion,and anomaly detection and early warning are used to construct an intelligent situation detection integrated system based on deep learning algorithm by integrating radar and photoelectric sensors.The experimental results show that the system can effectively realize the real-time detection and early warning of threatening targets such as suspicious persons and vehicles,improve the comprehensiveness,accuracy and timeliness of situation detection in peacekeeping operations,and provide intelligent decision support for peacekeeping operations.