摘要
针对雷达目标识别中相对不变特征量提取这一问题 ,提出了一种基于子波变换的特征提取方法 ,通过对三类飞机一维距离像的分类和识别 ,验证了这种方法的有效性 ,同时在将模糊神经网络作为模式分类器方面做出初步尝试。
Aiming at the relative invariability feature extraction problem in the field of radar target identification, a method based on the wavelet transform is proposed. Through classification and identification of the one-directional range profiles of three types of aircrafts, the validity of this method is testified. Meanwhile some attempts are made in the area of applying the fuzzy neural network classifier to radar target identification.
出处
《空军工程大学学报(自然科学版)》
CSCD
2002年第4期26-29,共4页
Journal of Air Force Engineering University(Natural Science Edition)
关键词
目标识别
模糊神经网络
子波变换
target identification
fuzzy neural network
wavelet transform