Multi-Sensor Data Fusion An Introduction
Auteur : Mitchell H.B.
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
Date de parution : 10-2010
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 100,22 €
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