基于小波变换和神经网络的毫米波一维距离像识别

Feature Extraction and Recognition of Infrared Target Based on Wavelet Transform and Neural Network

将小波和神经网络理论结合,并将小波神经网络用于毫米波频率步进雷达目标一维距离像识别,提出了基于小波分析的能量特征矢量法,分类识别效果有了很大的提高.

Wavelet transform and neural network theory are combined, and they are used to recognize the one-dimensional range profiles of step frequency millimeter waves. The energy characteristic vector has been put forward to extract features based on wavelet transform. The results of classification and recognition can be improved.