高超声速运动点目标检测

Detection of Hypersonic Moving Point Target

为了降低红外运动点目标检测的漏检率与虚警率,文章以"猎鹰2号"为例,从天基红外遥感图像生成的角度出发,计算了高超声速飞行器多种工况的辐射特性,提出了一种基于目标速度与辐射特性的红外运动点目标检测方法。该方法将高超声速目标的速度与遥感图像的灰度关联,以目标的飞行速度作为单帧图像灰度阈值分割的条件,实现阈值分割与速度滤波并行,并进行多帧图像疑似目标二次速度匹配滤波,实现目标检测。仿真结果表明:文章提出的点目标检测方法对于高超声速目标检测效果优良,检测率为94.4%,虚警率为5.86×10-5%。在具备目标表面平均温度与速度对应关系的情况下,该方法可应用于多种不同红外运动点目标的检测。

In order to reduce the missed detection rate and the false alarm rate in detecting infrared motion point target,the paper uses HTV-2as an example to calculate the radiation characteristics of hypersonic vehicles under various operating conditions.A detection method based on target velocity and radiation characteristics is proposed.From the perspective of infrared remote sensing image generation,the velocity of the hypersonic target is correlated with its gray level,and then is used as the single-image gray threshold segmentation to realize the threshold segmentation and the velocity filtering simultaneously.The inter-frame suspected targets are processed by secondary velocity filtering to realize target detection.The simulation results show that the geostationary orbit infrared detection system can achieve hypersonic vehicle detection in the common spectral segments.The detection method proposed in the article has excellent detection effect on hypersonic targets with a detection rate of 94.4%and a false alarm rate of 5.86×10–5%.The method can be applied to the detection of a plurality of different infrared moving point targets with the corresponding relationship between the target surface average temperature and velocity.