| 基于递归神经网络的飞机目标识别方法 |
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| 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. |
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| 作者姓名： | 肖怀铁 庄钊文 郭桂蓉 |
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| 作者单位： | 国防科技大学电子技术系 |
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| 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。
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| 关 键 词： | 递归神经网络，飞机目标识别 |
| 收稿时间： | 1996/11/11 0:00:00 |
Aircraft Target Recognition Based on Recurrent Neural Network |
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| Xiao Huaitie,Zhuang Zhaowen and Guo Guirong.Aircraft Target Recognition Based on Recurrent Neural Network[J].Journal of National University of Defense Technology,1997,19(4):48-53. |
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| Authors: | Xiao Huaitie Zhuang Zhaowen and Guo Guirong |
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| Institution: | Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073 |
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| 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. |
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| Keywords: | recurrent neural network aircraft target recognition |
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