为了提高航空光电成像侦察系统对地面目标定位的精度,提出了一种基于航拍图像的无人机光电成像定位算法,并利用蒙特卡罗模拟法对影响目标定位精度的因素进行了仿真,确定了影响目标定位精度的主要因素。仿真结果表明:该算法的定位精度可满足无人机对大地目标实时定位的要求,实现航拍图像指定目标的便捷定位。

In order to improve the ground object orientation accuracy of an aerial photoelectric imaging system, a umanned aerial vehicle (UAV) photoelectric imaging orientation algorithm is proposed. The main factors affecting the target orientation accuracy are determined by using the Monte-Carlo simulation. The result of simulation proves that the orientation accuracy of the algorithm can meet the demands of the ground object orientation accuracy and realize convenient positioning of a specific target in the aerial image.