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Identify Information Fusion through Evidential Reasoning

  • É. Bossé
Chapter
Part of the NATO Science Series book series (NAII, volume 70)

Abstract

Modern military operations take place within an enormously complex environment to accomplish missions across the spectrum of conflict from humanitarian assistance to high intensity combat. In the past several decades, the battlespace has expanded enormously in the face of increasingly potent and accurate weapons capable of being launched at progressively further ranges from their targets. In response to these challenges, powerful new sensors have been deployed at sea, ashore and in space, while the capacity of communications systems has multiplied to make available huge volumes of data and information to commanders and their staffs. In short, technological improvements in mobility, range, lethality and information acquisition continue to compress time and space, forcing higher operating tempos and creating greater demands on getting situation awareness for better decision-making.

Keywords

Information Fusion Radar Cross Section Combination Rule Belief Function Identity Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    NATO. STANAG 4420. (1989) Display Symbology and Colours for NATO Maritime Units. Edition 1. NATO.Google Scholar
  2. 2.
    Paradis, S., Roy, J. and Treumiet, W., (1998) Integration of All Data Fusion Levels Using a Blackboard Architecture. In Proceedings of Eurofus\on9S: International conference on Data Fusion. Great Malvern, UK.Google Scholar
  3. 3.
    Pearl, J. (1988) Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, San Mateo, CAGoogle Scholar
  4. 4.
    Roy, J. and Bossé, É., (1998) A Generic Multi-Source Data Fusion System. Defence Research Establishment Valcartier. Technical Report. DREV-R-9719.Google Scholar
  5. 5.
    Roy, J.M.J, Bossé, É. and Duclos-Hindié, N. (1998) Performance comparison of contact-level and track-level sensor fusion architectures. Optical Engineering, special section on sensor fusion.Google Scholar
  6. 6.
    Shafer, G. (1976) A Mathematical Theory of Evidence. Princeton University Press.Google Scholar
  7. 7.
    Shafer, G. (1985) Hierarchical evidence. In Proceedings of the Second Conference on Artificial Intelligence Applications, pp.16–21.Google Scholar
  8. 8.
    Shafer, G. & R. Logan, (1987) Implementing Dempster’s rule for hierarchical evidence. Artificial Intelligence, 33, 271–298.MathSciNetMATHCrossRefGoogle Scholar
  9. 9.
    Bossé, E., and Simard, M. A, (1998) Managing Evidential Reasoning for Identity Information Fusion Optical Engineering, Vol 37, no. 2, pp. 291–300.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • É. Bossé
    • 1
  1. 1.Defense Research Establishment ValcartierVal-BélairCanada

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