| 用多层前馈神经元网络实现运动点目标图像识别 |
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| 引用本文： | 梁民,孙仲康,刘巨昌.用多层前馈神经元网络实现运动点目标图像识别[J].系统工程与电子技术,1992(10). |
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| 作者姓名： | 梁民 孙仲康 刘巨昌 |
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| 作者单位： | 国防科技大学
(梁民，孙仲康)，国防科技大学(刘巨昌) |
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| 摘 要： | 本文主要讨论了远距离目标(即点目标)的识别问题,提出了一种用二阶神经元网络来识别含噪运动点目标图像的方法,给出了点目标运动轨迹参数与速度参数提取方法和二阶神经网络的改时B—P学习算法。在PC—286微机上对本文提出的方法进行了仿真实验,结果表明这种识别方法具有很好的识别效果。
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| 关 键 词： | 神经元网络 目标识别 轨迹 傅里叶变换 |
Noisy Image Moving Point Object Recognition Using the Second-Order Neural Network |
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| Liang Min,Sun Zhongkang and Liu JuchangDept. of Electronic Eng.,National University of Defense Technology.Noisy Image Moving Point Object Recognition Using the Second-Order Neural Network[J].System Engineering and Electronics,1992(10). |
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| Authors: | Liang Min Sun Zhongkang and Liu JuchangDept of Electronic Eng National University of Defense Technology |
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| Abstract: | This paper discusses the problem of noisy image moving point object recognition. A new algorithm is proposed for feature extraction of moving point object. The second-order neural network is applied to classify the extracted features and the corresponding modified B-P learning algorithm is given. The simulation is run for three kinds of moving point objects and the results indicate this recognition method is effective. |
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| Keywords: | Object recognition Track map Fourier-Hough transfer Neural network |
| 本文献已被 CNKI 等数据库收录！ |
