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作 者:彭浩 张玉恒 郭雪妮 PENG Hao;ZHANG Yuheng;GUO Xueni(Henan Mechanical and Electrical Vocational College,Zhengzhou,Henan 451150,China)
出 处:《自动化应用》2024年第21期43-47,共5页Automation Application
基 金:河南省教育科学规划重点课题“职业院校学历教育与职业培训并举实践研究”(2022JKZD04)。
摘 要:脱靶量是检验部队训练水平、武器性能的一个重要指标,同时也是优化方法、改善参数的重要反馈依据。针对海面舰炮脱靶量测量成本高、方式复杂、受海面气候影响大、测量精度不高等问题,提出了一种基于无人机目标跟踪的舰炮脱靶量测量方法。该方法使用无人机作为观测平台,通过与靶船通信,确定规则的相对运动,拍摄清晰的脱靶图像及相关位置信息。地面站系统利用YOLOv5-DeepSORT目标检测和跟踪算法对炸点水柱进行检测和跟踪,从而实现对炸点水柱脱靶量的测量。该方法实施简单,测量精度高,可有效增强脱靶量测量的效果,提高部队的战斗力水平。The miss distance is an important indicator for testing the training level and weapon performance of troops,as well as an important feedback basis for optimizing methods and improving parameters.This paper proposes a method for measuring the miss distance of naval guns based UAV target tracking,which addresses the problems of high cost,complex methods,significant influence of sea climate,and low measurement accuracy.The method uses UAV as observation platforms,communicates with the target ship,determines the relative motion of the rules,and captures clear miss images and relevant position information.The ground station system utilizes the YOLOv5-DeepSORT object detection and tracking algorithm to detect and track the burst point water column,thereby achieving the measurement of the miss distance of the burst point water column.This method is simple to implement and has high measurement accuracy,which can effectively improve the effectiveness of miss distance measurement and enhance the combat effectiveness level of the army.
分 类 号:TP873[自动化与计算机技术—检测技术与自动化装置]
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