低信噪比下抖动的红外弱小目标的实时检测

文章根据实时测量需要，结合硬件提出了一种快速算法。在分析红外点目标、噪声及杂波模型的基础上，通过去除温度非线性及选择合适的高通模板的预处理，有效地抑制了噪声，提高了信噪比，从而达到复杂背景下红外点目标检测的目的。已成功研制了一种红外处理系统，它实时完成了弱小目标的有效检测和精确跟踪。

The Real-time Detection of Infrared Wobble Weak Target Based Under Low SNR

The paper presents fast algorithm combined hardware based on real-time detection in spatially varying clutter.After analyzing the targets and clutter model,through wiping off temperature non-linear and selecting suitable high-pass model,the algorithm successfully enhances the SNR,and suppresses the clutter and detects weak target when both the target and clutter are moving through the image scene.A real-time signal processing device had been developed.It detects the weak target effectively and bring to success on tracking the target in realtime.