结合形态学滤波和运动相似模型的红外小目标检测

his paper proposes an infrared small target detection algorithm combined with morphological filtering and motion likelihood model, designed to address the problems that the changes of sky background clouds are complex, the SNR is low and the maneuverability of moving target maneuverability is strong. Experiments show that the algorithm is effective to the separation of the background and targets. And it can overcome the impact of the false-alarm targets generated by high frequency background and the problem that targets can't be obtained by energy accumulation and other methods because of the moving targets' strong maneuverability, providing the safeguard for target tracking.