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机构地区:[1]国防科技大学机电工程与自动化学院,湖南长沙410073
出 处:《小型微型计算机系统》2008年第12期2296-2300,共5页Journal of Chinese Computer Systems
基 金:兵器预研项目(402050302)资助
摘 要:反跑道图像末制导系统中,针对弹载图像中可能不存在完整跑道,而跑道内部比较均匀很难由灰度或结构特征锁定目标点的问题,提出一种攻击目标点的选取方法.结合惯导和图像信息,通过一个中间坐标系,估计前帧目标点在当前图像中的位置,过该像点作跑道中线的垂线,垂足定为系统当前的攻击目标点.仿真实验结果表明,该方法能在跑道图像中选取合适的攻击目标点、随着图像分辨率的提高目标越来越精确,并且对惯导误差不敏感,具有鲁棒性.In anti-runway image-aided terminal guidance system ,the images of missile-borne camera maybe not include the whole runway. The runway image is uniform ,so that it is difficlut to determine a stabile target using gray or structure feature in the images. To solve this problem,a method of selecting attack target is proposed. The pixel position of previous target is estimated by fusing the information of inertial navigation system(INS) and image through a middle coordinate frame. The intersection of the runway midline with its vertical line through the estimated target is the new attack target of the guidance system. The re- sults of simulation experiments demonstrate that the method proposed can select some stabile appropriate attack target points in the images for the guidance system. The accuracy of the selected target improves gradually as the image resolution increases. Furthermore ,the method is not sensitive to INS error, which means robust.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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