Multisensor maximum attribute data fusion and its application in target recognition

被引：0
|
作者：
Tsinghua Univ, Beijing, China [1 ]
机构：
来源：
Qinghua Daxue Xuebao/Journal of Tsinghua University | 2000年 / 40卷 / 04期
关键词：
Character recognition - Classification (of information) - Information science - Sensors - Targets;
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暂无
中图分类号：
学科分类号：
摘要：
Multisensor maximum attribute data fusion method is proposed in decision level of data fusion to classify targets in complex environments. The method considers data and confidence value for each sensor upon the concepts of attribute set and attribute measure. Experimental results show the that result of the multisensor maximum attribute data fusion method is better than that of a single sensor. It turns out that the multisensor maximum attribute data fusion method is correct and effective.
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页码：21 / 23
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