摘要
运用高阶神经网络的理论和模型，借助相似三角形的特征提取方法和高分辨率图像的粗编码方法，研究了目标的平面二值边缘图像的ＴＳＲＩ模式识别问题．通过对Ｆ－１８飞机和返回式宇宙飞船两类目标图像进行特征提取、粗编码、训练和分类检测，证明了人工神经网络应用在引信目标成像的识别上相对传统的数字方法具有极大的潜力和优越性．
Based on theory and model of high order neural network, by means of feature extraction of similar triangle and coarse coded high discrimination image, TSRI pattern recognition of image margin is developed. Through research on targets of F 18 aeroplane and the space ship, the advantages of technique of neural network compared with tranditional digit circuit method are proved.
出处
《北京理工大学学报》
EI
CAS
CSCD
1997年第4期493-498,共6页
Transactions of Beijing Institute of Technology
基金
国防科技预研基金
