头盔瞄准具精度鉴定试飞图像判读技术研究

Technology of image interpretation in flight test for examining accuracy of HMS

头盔瞄准具精度鉴定课题是我国某新型直升机进行鉴定试飞的重要科目之一。飞行实验中采用了基于机载数字影像的头盔瞄准具精度鉴定非接触测量方法,其中对头盔运动影像序列中测量特征点图像坐标进行精确判读是实现该方法的重要环节。基于Kalman滤波的特征点跟踪算法、相关性原理的图像匹配算法、Harris算子和角点定位算子实现特征点图像坐标亚像素判读,得到每帧影像中测量特征点的精确二维图像坐标,为后续的头盔运动姿态测量解算提供精度保证。

The research on examining accuracy of HMS（Helmet Mounted Sight） described in this article is a crucial subject in the flight test for evaluating and validating the design of a new fighter.According to requirements on validating the accu-racy of the HMS designed for the new helicopter,a non-contact measurement based on airborne digital imaging is developed.Algorithms based on Kalman filter tracking,cross-correlation matching and Harris corner detector are combined to accom-plish extractions of coordinates of feature points in a subpixel-precise manner.