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在相干激光成像雷达跟踪系统中,跟踪算法是决定激光雷达跟踪性能的关键.针对激光成像雷达所成距离像的特点,以及以前算法中必须预先给定模板这一缺陷,采用了一种加权的 SUSAN 方法找出图像中目标的特征点,确定目标中心,在实时图像中提取模板,通过两级相关运算,进行目标跟踪,给出了相关跟踪的帧内置信度和帧间置信度信号,完成模板的智能更新.在不同的信噪比下进行序列图像跟踪实验,实验结果轰明,在所研究的仿真目标中应用此相关跟踪方法,能够较准确的提取模板,跟踪精度较好.
In the coherent laser imaging radar tracking system, the tracking algorithm is the key to determine the tracking performance of the laser radar.Aiming at the characteristics of the distance image formed by the laser imaging radar and the defects that the template must be given in the previous algorithm, a weighted SUSAN method to find the target feature points in the image to determine the target center in real-time image extraction template, through two levels of correlation operation, the target tracking, given the relevant tracking of the frame confidence and interframe confidence signal to complete The template is updated intelligently.Sequence image tracking experiments under different signal-to-noise ratio (SNR) are carried out. The experimental results show that the relevant tracking method can be applied to the simulation target under study, which can extract the template more accurately with better tracking accuracy.