一种基于神经网络的红外目标识别方法

A New Method of Object Recognition Using a Neural Network

文中介绍了一种基于神经网络的目标识别方法。该方法利用径向基函数（ＲＢＦ）神经网络，结合目标边界的形状特征，对平移、旋转及尺度变化情况下的目标进行了分类识别。实验结果表明，这种识别方法性能稳定，且具有很高的识别精度。

In this paper, a new method of object recognition is proposed. Firstly, it uses a polygonal approximation technique to describe an object shape. Then, some important polygonal features, which are obtained from the normalized polygon, are used to a RBF network as input for learning and classification. The propose recognition algorithm is invariant to the translation, rotation, and scale changes of a shape. Experiments by real infrared images and noisy images are performed, and recognition results show that the method is very effective.