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基于多传感器的综合集成研讨厅信息融合系统 被引量:2

Multi-sensor Based Information Fusion System of Hall for Workshop of Meta-synthetic Engineering
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摘要 介绍了多传感器信息融合方法及处理模型、美国圣菲研究所在复杂适应系统领域以及国内在综合集成研讨厅领域的研究与实践,在此基础上,通过对多传感器信息融合系统和综合集成研讨厅的本质分析及对比研究,提出了一种通用的基于多传感器的综合集成研讨厅信息融合系统体系结构。同时,结合作者对装备保障复杂适应系统的研究与理解,分析了基于多传感器的装备保障综合集成研讨厅信息融合系统的功能需求、体系结构层次和技术结构层次,初步构建了装备保障综合集成研讨厅信息融合系统的体系结构框架,寻求到了一种多传感器信息融合研究的新途径。 Based on introducing lnulti-sensor information fusion methods and process models, Santa Fe lnstitute's (SFI) research in complex adaptive system (CAS) and domestic research and practice in hall for workshop of recta-synthetic engineering (HWME), at the same time by essence analysis and contrast research of multi-sensor information fusion (MSIF) system and HWME, this paper puts forward a universal HWME system configuration based on MSIE Integrating research and comprehension to equipment support CAS, it analyzes function requirement, system configuration layers and technology configuration layers of multi sensor based equipment support HWME information fusion system, and constitute system configuration framework of equipment support HWME information fusion system. By this method it seeks a new approach to multi-sensor information fusion.
出处 《计算机工程》 EI CAS CSCD 北大核心 2006年第11期262-264,共3页 Computer Engineering
基金 军械工程学院科学研究基金资助项目
关键词 多传感器信息融台 综合集成研讨厅 复杂适应系统 Multi-sensor information fusion Hall for workghop of meta-synthetic engineering Complex adaptive system (CAS)
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参考文献5

  • 1Hall D L, Llinas J, An Introduction to Multi-sensor Data Fusion[J]. Proc, of the IEEE, 1997, 85 (1):6-23.
  • 2Hu Xiaohui, Ai Kewu. The Research of the Open Complex Giant System by Meta-synthetic Engineering[C]. Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 1996:2394-2399.
  • 3Chanussot J, Mauris G, Lambert P. Fuzzy Fusion Techniques for Linear Features Detection in Multi Temporal SAR Images[J]. IEEE Trans. on Geosci.Remote Sening, 1999, 37(3): 1292-1305.
  • 4Jimenez L O, Morales A, Creus A. Classification of Hyperdimensional Data Based on Feature and Decision Approaches Using Projection Pursuit Majority Voting and Neural Networks[Jl, IEEE Trans on Geosci. Remote Sening, 1999, 37(3): 1360-1365.
  • 5Hu Xiaohui, Li Ya. Hall for Workshop of Meta-synthetic Engineering:Design issues and an Example[CJ. Proceedings of the ICSSSE'98,1998: 234-239.

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