| 基于模糊集的神经网络景象匹配算法 |
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| 引用本文： | 何芳芳,孙继银,孙向东,郭文普,孙振. 基于模糊集的神经网络景象匹配算法[J]. 系统仿真学报, 2006, 18(Z2): 929-930 |
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| 作者姓名： | 何芳芳 孙继银 孙向东 郭文普 孙振 |
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| 作者单位： | 1. 第二炮兵工程学院研四队,西安,710025
2. 第二炮兵装备研究院,北京,100085 |
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| 摘 要： | 将神经网络思想引入到景象匹配,提出了基于模糊集的神经网络景象匹配算法。该算法将图像模糊集作为特征空间,尝试了在模糊域中采用神经网络学习算法进行精确寻优。实验结果表明,设计的算法不但较好的满足了景象匹配系统对算法的性能要求,而且比传统算法具有更高的抗干扰能力。
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| 关 键 词： | 景象匹配 匹配算法 神经网络 模糊集 |
| 文章编号： | 1004-731X(2006)S2-0929-02 |
| 修稿时间： | 2006-04-05 |
Fuzzy Sets-based Neural Network Algorithm for Scene Matching |
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| HE Fang-fang,SUN Ji-yin,SUN Xiang-dong,GUO Wen-pu,SUN Zhen. Fuzzy Sets-based Neural Network Algorithm for Scene Matching[J]. Journal of System Simulation, 2006, 18(Z2): 929-930 |
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| Authors: | HE Fang-fang SUN Ji-yin SUN Xiang-dong GUO Wen-pu SUN Zhen |
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| Abstract: | Neural network theory is used for scene matching, and a novel neural network algorithm based on fuzzy sets is proposed. First, image fuzzy sets were taken as character space, and then the exact position was optimized by the 3 layer forward neural network algorithm. Results show that this method has merits in accuracy, speed, and robustness, and its anti-jamming performance is also better than some traditional scene matching algorithms. |
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| Keywords: | scene matching matching algorithm neural network fuzzy sets |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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