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Multisensor Fusion pp 267–293Cite as

Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion

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Part of the book series: NATO Science Series ((NAII,volume 70))

Abstract

The increased research in data fusion in several domains is motivated by the multiplication of sources of knowledge and data, and of techniques for their acquisition. The huge volume of data to be processed and the complexity of the problems that are addressed induce a real need for the development of data fusion techniques.

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  1. Ecole Nationale Supérieure des Télécommunications, TSI - CNRS URA 820, 46 rue Barrault, 75013, Paris, France

    I. Bloch

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  1. University of Notre Dame, Notre Dame, Indiana, USA

    A. K. Hyder

  2. Lockheed-Martin Canada, Montreal, Canada

    E. Shahbazian

  3. Veridian Systems, Ann Arbor, Michigan, USA

    E. Waltz

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Bloch, I. (2002). Fusion of Information under Imprecision and Uncertainty, Numerical Methods, and Image Information Fusion. In: Hyder, A.K., Shahbazian, E., Waltz, E. (eds) Multisensor Fusion. NATO Science Series, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0556-2_11

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