| 基于熵和KNN的决策模板法在目标识别中的应用 |
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| 引用本文： | 帅军.基于熵和KNN的决策模板法在目标识别中的应用[J].湖南文理学院学报(自然科学版),2005,17(1):18-21. |
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| 作者姓名： | 帅军 |
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| 作者单位： | 长沙高新区,软件园209室,湖南,长沙,410205 |
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| 摘 要： | 利用传感器平均度量熵和K近邻方法对经典的决策模板法进行修正.仿真结果表明改进的决策模板法比经典的决策模板法识别率提高7.8%,是一种比较有效的识别方法.
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| 关 键 词： | 决策层融合 目标识别 决策模板 熵 K近邻 |
| 文章编号： | 1672-6146(2005)01-0018-04 |
| 修稿时间： | 2004年11月15 |
The Application of Decision Template Method Based on Entropy and K-Neighborhood for Target Recognition |
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| SHUAI Jun.The Application of Decision Template Method Based on Entropy and K-Neighborhood for Target Recognition[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2005,17(1):18-21. |
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| Authors: | SHUAI Jun |
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| Abstract: | A modified decision template method based on the entropy of sensors' uncertain measurement and K - Neighborhood method were represented. Simulation result showed that target recognition ratio can be improved by 7.8% with the modified algorithm,which shows that the decision template method is effective. |
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| Keywords: | Decision level fusion Target recognition Decision Templates Entropy K - Neighborhood |
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