一种机载平台快速目标运动补偿方法  

A Fast Target Motion Compensation Method for Airborne Platform

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作  者:张海斌[1] 杨硕 刘志成 ZHANG Haibin;YANG Shuo;LIU Zhicheng(Academy of Opto-Electronics,China Electronics Technology Group Corporation(AOE CETE),Tianjin,China;The Third Military Representative Office in Tianjin of the Air Force Equipment Department,Tianjin,China)

机构地区:[1]中国电子科技集团公司光电研究院,天津 [2]空装驻天津地区第三军事代表室,天津

出  处:《光电技术应用》2022年第2期52-57,共6页Electro-Optic Technology Application

摘  要:针对载机大机动运动条件下,目标在图像中位置变化较大,无法准确进行目标归属的问题,提出一种机载平台快速目标运动补偿方法。首先,选取前一帧目标所在区域图像作为模板图像,再根据前一帧目标在图像中位置,探测器安装角度和载机姿态信息,预测目标在当前帧中出现的位置,获取预测目标所在区域图像作为待配准图像,最后应用SIFT算法计算模板图像和待匹配图像中关键点,通过图像配准获取目标在当前帧中精确位置,为后续目标归属性判断的准确性提供保障。实验结果表明,所提方法能够精确定位载机大机动条件下目标在连续帧中位置,与通过整幅图像配准获取目标位置相比计算效率大大提高。A fast target motion compensation method for airborne platform is proposed to solve the problem that the target position changes greatly and can’t be accurately located in the image under the condition of large maneuvering motion of the carrier. Firstly, the local area image of the target location in the previous frame is selected as the template image. Secondly, according to the position of the target in the previous frame, the detector installation angle and the aircraft attitude information, the position of the target in the current frame is predicted, and the local area image of the predicted target location as the image to be registered is obtained. Finally SIFT algorithm is applied to calculate the key points in the template image and the registered image, and accurate target position in the current frame is obtained through image registration, which ensures the accuracy of target location calculation in the image sequences. Experimental results show that the proposed method can accurately locate the position of the target in continuous frame under the condition of large maneuver flight, compared with calculating the target position through the whole image registration, the calculation efficiency is greatly improved.

关 键 词:运动补偿 载机姿态 SIFT算法 图像配准 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]

 

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