| 多源信息处理技术——数据融合 |
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| 引用本文： | 罗森林,王越,周思永.多源信息处理技术——数据融合[J].系统工程与电子技术,1998(6). |
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| 作者姓名： | 罗森林 王越 周思永 |
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| 作者单位： | 北京理工大学电子工程系 |
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| 摘 要： | 在介绍数据融合技术的基础上，分析了不同融合层次的性质和作用，提出了数据融合大脑功能模型，进而给出一种广义的多传感器数据融合通用结构，该结构具有神经网络的特性，但不涉及权值和学习算法问题；总结、分析了不同融合层次的原理、结构和算法，强调了神经网络在数据融合技术中的应用；分析了数据融合技术中存在的问题，并探讨了其宏观和微观的发展方向。
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| 关 键 词： | 多传感器，信息系统，数据合成，算法 |
Multisource Processing Technology Data Fusion |
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| Luo Senlin,Wang Yue and Zhou Siyong.Multisource Processing Technology Data Fusion[J].System Engineering and Electronics,1998(6). |
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| Authors: | Luo Senlin Wang Yue and Zhou Siyong |
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| Institution: | Luo Senlin,Wang Yue and Zhou Siyong Department of Electronic Engineering,Beijing Institute of Technology,100081 |
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| Abstract: | The data fusion technology is introduced in this paper. Due to four levels' characters and functions of the fusion technology, a cerebrum functional model is formed and a common neural network fusion structure model is presented. Then the four levels's principle, structure and the algorithm are summarized, and the neural network technology will be well used in data fusion. At last the problems of among the data fusion technology are analyzed,and the future developments are discussed. |
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| Keywords: | Multisensor Data fusion Structure model Algorithm |
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