引用本文: | 肖怀铁,庄钊文,郭桂蓉.基于递归神经网络的飞机目标识别方法[J].国防科技大学学报,1997,19(4):48-53.[点击复制] |
Xiao Huaitie,Zhuang Zhaowen,Guo Guirong.Aircraft Target Recognition Based on Recurrent Neural Network[J].Journal of National University of Defense Technology,1997,19(4):48-53[点击复制] |
|
|
|
本文已被:浏览 6143次 下载 5802次 |
基于递归神经网络的飞机目标识别方法 |
肖怀铁, 庄钊文, 郭桂蓉 |
(国防科技大学 电子技术系 湖南 长沙 410073)
|
摘要: |
针对宽带高距离分辨全极化雷达体制, 提出了一种基于实时递归神经网络算法的飞机目标自动识别方法, 实现了全极化下五类飞机目标的自动识别。实验结果表明, 递归神经网络用于飞机目标识别是有效可行的。 |
关键词: 递归神经网络, 飞机目标识别。 |
DOI: |
投稿日期:1996-11-11 |
基金项目:国防预研项目资助 |
|
Aircraft Target Recognition Based on Recurrent Neural Network |
Xiao Huaitie, Zhuang Zhaowen, Guo Guirong |
(Department of Electronic Technology, NUDT, Changsha, 410073)
|
Abstract: |
In this paper, an aircraft target automatic classifier based on real time recurrent neural network algorithm is proposed under the wide band fully polarized high range resolution radar. This new neural network classifier is applied to the classification of five types of aircraft targets. The result demonstrates the feasibility of using recurrent neural networks for aircraft target recognition. |
Keywords: recurrent neural network, aircraft target recognition. |
|
|
|
|
|