首页 | 本学科首页   官方微博 | 高级检索  
     

基于细胞神经网络(CNN)的飞行目标识别研究
引用本文:肖雪芳,雷丽平,雷国伟. 基于细胞神经网络(CNN)的飞行目标识别研究[J]. 绵阳师范学院学报, 2011, 30(11): 111-115
作者姓名:肖雪芳  雷丽平  雷国伟
作者单位:1. 厦门理工学院电子与电气工程系,福建厦门,361024
2. 集美大学理学院,福建厦门,361021
摘    要:基于细胞神经网络,采用改进型帧间差法检测飞行物体,针对飞行目标提取其相应的特征,建立特征参数库,为飞行物的实时跟踪与自动识别提供依据。

关 键 词:细胞神经网络  飞行目标  模板

On Recognition of Flying Objects Based on CNN
XIAO Xue-fang,LEI Li-ping,LEI Guo-wei. On Recognition of Flying Objects Based on CNN[J]. Journal of Mianyang Normal University, 2011, 30(11): 111-115
Authors:XIAO Xue-fang  LEI Li-ping  LEI Guo-wei
Affiliation:1.Dept.of Electronic & Electric Engineering,Xiamen University of Technology,Xiamen,Fujian 361024; 2.Sch.of Science,Jimei University,Xiamen,Fujian 361021)
Abstract:Based on Cellular Neural Networks (CNN), flying objects were detected via improved difference between frames; the data base of feature parameters of each kind was extracted and set up, therefore, detection and recognition of flying objects can be made at real time.
Keywords:Cellular Neural Networks  Flying Objects  Template
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号