基于图像融合的弹群对地目标识别仿真研究

针对利用导弹集群进行智能化协同作战的问题，提出一种基于视觉的弹群对地面目标识别的仿真系统。研究主要包括基于RGB图像和红外图像融合的对地目标识别、有限通信范围的分布式弹间通信以及实时可视化弹群节点的感知态势。仿真结果表明：基于图像融合的识别算法能有效提升弹群节点对地面目标的识别效果，具有较好的工程可行性，基于分布式的有限通信范围的弹间通信有助于提升弹群系统整体的鲁棒性和信息传递的稳定性。

Simulation Research on Ground Target Recognition of Missile Group Based on Image Fusion

Aiming at the problem of using missile group to carry out intelligent cooperative combat, a simulation system of ground target recognition by missile group based on vision is proposed. The research mainly includes the ground target recognition based on the fusion of RGB image and infrared image, the distributed communication between missiles with limited communication range, and the real-time visualization of the perception situation of missile group nodes. The simulation results show that the recognition algorithm based on image fusion can effectively improve the recognition effect of missile group nodes on ground targets, and has good engineering feasibility, and the communication between missiles based on distributed limited communication range is helpful to improve the overall robustness of the missile group system and the stability of information transmission.