| 双色红外图像目标多特征决策级融合识别算法 |
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| 引用本文： | 李秋华,杜鹢.双色红外图像目标多特征决策级融合识别算法[J].计算机工程与应用,2010,46(17):171-175. |
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| 作者姓名： | 李秋华 杜鹢 |
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| 作者单位： | 1. 解放军重庆通信学院,军事信息工程系,重庆,400035
2. 通信网络技术管理中心,北京,100840 |
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| 基金项目： | 国家重点基础研究发展规划(973) |
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| 摘 要： | 针对双色红外成像系统中的自动目标识别问题，提出了一种采用多特征多分类器决策级融合的目标识别算法。该算法首先提取目标的形状特征和面貌特征；接着基于各种不同特征设计多个分类器对目标进行分类；然后采用所设计的多分类器决策级融合策略对多个分类器的目标分类结果进行融合处理；最后采用所提出的决策规则对多分类器融合分类结果进行处理得到最终的目标识别结果。该算法充分利用了目标在多传感器图像中的多种分类特征信息，在较大程度上提高了系统的目标识别效率和精确性。实验结果证实了该算法的有效性。
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| 关 键 词： | 双色红外 目标识别 分类器融合 信息融合 决策级融合 |
| 收稿时间： | 2008-12-1 |
| 修稿时间： | 2009-3-30
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Dual band IR image target multi-features decision level fusion recognition algorithm |
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| LI Qiu-hua,DU Yi.Dual band IR image target multi-features decision level fusion recognition algorithm[J].Computer Engineering and Applications,2010,46(17):171-175. |
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| Authors: | LI Qiu-hua DU Yi |
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| Affiliation: | 1.Chongqing Communication College of PLA,Chongqing 400035,China ;2.Communication Network Technology Management Center,Beijing 100840,China ) |
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| Abstract: | Aiming at the problem of ATR for the dual band IR imaging system,a method of target recognitionis proposed using multi-features and multi-classifiers decision level fusion.The algorithm firstly extracts shape features and appearance-based features;Following,multiple classifiers are devised based on the different features to classify the target;Then,the target classification results of multiple classifiers are fused using proposed strategies of multi-classifiers decision level fusion;Finally,the multi-classifiers fusion classification results are deal with using devised decision rules to get the system＇s target recognition results.The method makes good use of the multiple kinds of classification feature information of target in multi-sensors images,improves the performance and accuracy of target recognition to some degree.Experimentation results demonstrate the effectiveness of the proposed algorithm. |
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| Keywords: | dual band IR target recognition classifier fusion information fusion decision level fusion |
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