自适应模板匹配在自主空中加油跟踪中的应用

The application of adaptive template matching in the autonomous aerial refueling tracking

自主空中加油技术越来越重要,在软管加油的对接阶段,运用模板匹配跟踪技术对目标进行跟踪。本文利用直方图均衡化、形态学算法和边缘轮廓提取得到初始模板;然后利用归一化相关匹配法对模板进行匹配,同时利用归一化相关值作为参考,判断是否对模板进行更新,从而得到自适应模板;为了缩小匹配时的搜索范围,加入了轨迹跟踪的算法,大大节省了运算时间。通过仿真实验显示,该算法切实可行。

Autonomous aerial refueling technology becomes more and more important, during the docking stage of probe and drogue refueling, the template matching tracking technology is used to track the target. In this paper, we use the histogram equalization, morphological and edge contour extraction algorithm to obtain the initial template; then use the normalized correlation matching method to match the template, While taking advantage of the normalized correlation value as a reference to determine whether to update the template, resulting in adaptive templates; To narrow the search range while matching, we use the trajectory tracking algorithm to save computation time. Simulation results show that the algorithm is feasible.