| Fisher理论和主成分相结合的多传感器信息融合方法 |
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| 引用本文： | 万树平.Fisher理论和主成分相结合的多传感器信息融合方法[J].计算机应用,2009,29(3):771-773. |
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| 作者姓名： | 万树平 |
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| 作者单位： | 江西财经大学,信息管理学院,南昌,330013 |
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| 基金项目： | 国家自然科学基金，江西省自然科学基金，江西省教育厅科技项目 |
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| 摘 要： | 针对具有多个特征指标的多传感器目标识别问题，提出了一种Fisher判别和主成分相结合的信息融合方法。该方法利用主成分分析法融合判别函数的个数，减少识别工作量，基于Fisher判别理论进行目标的识别。该方法特别适用于多个目标的识别，计算简单，易于计算机上实现。应用实例验证了算法的有效性。
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| 关 键 词： | 多传感器 数据融合 主成分分析 Fisher判别 |
| 收稿时间： | 2008-09-22 |
Combination method of Fisher theory and principle component for multi-sensor information fusion |
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| WAN Shu-ping.Combination method of Fisher theory and principle component for multi-sensor information fusion[J].journal of Computer Applications,2009,29(3):771-773. |
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| Authors: | WAN Shu-ping |
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| Affiliation: | College of Information Technology;Jiangxi University of Finance and Economics;Nanchang Jiangxi 330013;China |
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| Abstract: | Aiming at the target recognition problem of multi-sensor with multiple characteristic indexes,a new fusion method was proposed combining Fisher discrimination and principle component.The method merged the number of discrimination functions to reduce the workload of recognition,and utilized the theory of Fisher discrimination to recognize targets.It is very suitable for the recognition of multi-targets,very simple to compute,and can be performed on computer easily.The applied example proves that the method i... |
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| Keywords: | multi-sensors data fusion principle component analysis Fisher discrimination |
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