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  • An Introduction
    H.B. Mitchell
    978-3-540-71559-7
    2007
    Edition 1
    • Self-contained, easy accessible introduction to multi-sensor data fusion for graduate students and researchers
    • Well-organized modern approach to theories and techniques, includes numerous case studies that illustrate the application of techniques for multi-sensor data fusion to real problems, providing hands-on knowledge
    • The case studies cover a very wide range of applications – including medical imaging, geoscience applications, biometric identification, pattern classification, handwriting analysis, target tracking, computer vision etc.
    • Presents the first unified treatment of the subject using a Bayesian probabilistic framework
    • Contains details of MATLAB software programs which are available for all the multi-sensor data fusion techniques used in the book
    • Includes extensive modern bibliography containing more than 400 references of which more than 60% were published in the year 2000 or later
    €180 €162
    10% OFF

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