| 模糊相似度景像匹配算法研究 |
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| 引用本文： | 黄锡山,陈哲.模糊相似度景像匹配算法研究[J].北京航空航天大学学报,2002,28(5):532-535. |
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| 作者姓名： | 黄锡山 陈哲 |
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| 作者单位： | 北京航空航天大学,自动化科学与电气工程学院 |
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| 基金项目： | 航空基础科学基金;99E51018; |
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| 摘 要： | 研究了求取图像模糊特征域的计算方法,提出了采用图像模糊集相似度进行景像匹配的方法,并探讨了综合利用多种模糊集相似度算法进行匹配的方法,进一步提出了模糊综合相似度(FSSM)匹配算法.仿真验证表明,FSSM算法具有适应性好、匹配率高等优点,且实时性也较好,为飞行器实时景像匹配提供了一种可行方法.
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| 关 键 词： | 模糊集 模糊贴进度 相似性 匹配 |
| 文章编号： | 1001-5965(2002)05-0532-04 |
| 收稿时间： | 2001-01-08 |
| 修稿时间： | 2001年1月8日 |
Studies on Scene Matching Algorithm of Fuzzy Similarity Metric |
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| HUANG Xi-shan,CHEN Zhe.Studies on Scene Matching Algorithm of Fuzzy Similarity Metric[J].Journal of Beijing University of Aeronautics and Astronautics,2002,28(5):532-535. |
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| Authors: | HUANG Xi-shan CHEN Zhe |
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| Institution: | Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering |
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| Abstract: | Calculations of fuzzy image feature field were studied, the scene matching algorithm adopting similarity metrics of image fuzzy sets was proposed, and the matching methods of combining multiple similarity metrics of fuzzy sets were explored. Further more, the scene matching algorithm of the fuzzy synthetic similarities (FSSM) was proposed. The simulation results show that the FSSM algorithm has advantages of excellent adaptability, high matching probability, and good real time ability. As an excellent algorithm of scene matching, it can be used for the real time positioning of aircrafts. |
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| Keywords: | fuzzy sets fuzzy nearness similarity matching |
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