基于递归神经网络的飞机目标识别方法

Aircraft Target Recognition Based on Recurrent Neural Network

针对宽带高距离分辨全极化雷达体制，提出了一种基于实时递归神经网络算法的飞机目标自动识别方法，实现了全极化下五类飞机目标的自动识别。实验结果表明，递归神经网络用于飞机目标识别是有效可行的。

In this paper,an aircraft target automatic classifier based on real time recurrent neural network algorithm is proposed under the wide band fully polarized high range resolution radar. This new neural network classifier is applied to the classification of five types of aircraft targets. The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition.