基于细胞神经网络,采用改进型帧间差法检测飞行物体,针对飞行目标提取其相应的特征,建立特征参数库,为飞行物的实时跟踪与自动识别提供依据。 Based on the cellular neural network, the improved inter-frame difference method is used to detect the flying objects, the corresponding features are extracted for the flight targets, and the characteristic parameter database is established to provide the basis for the real-time tracking and automatic identification of the flying objects.