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Multisensor Fusion

  • A. K. Hyder
  • E. Shahbazian
  • E. Waltz

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Introduction and Fundamentals

  3. Multisensor Fusion Theory

  4. Multisensor Design and Implementation

    1. R. Reynaud
      Pages 387-418
    2. A. Jouan, B. Jarry, H. Michalska
      Pages 581-592
    3. Y. Sheng, X. Yang, P. Valin, L. Sévigny
      Pages 593-609
    4. A. Witczak, M. Brzozowski
      Pages 625-631
  5. Multisensor Fusion Applications

    1. D. Finkleman, J. Santiago, S. Alfano, D. Vallado
      Pages 657-671
    2. V. M. Bystritskii
      Pages 673-714
    3. E. Lefebvre
      Pages 765-778
    4. V. M. Bystritsky
      Pages 815-837
    5. P. Pokholkov, B. S. Rybakov, N. N. Khorsov
      Pages 851-863
    6. V. M. Baryshevsky
      Pages 879-882
    7. B. A. K. Chibber, P. Fay, G. H. Bernstein, F. J. Castellino, J. G. Duman
      Pages 883-887

About this book

Introduction

For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

Keywords

algorithms classification computer vision fuzzy image processing information navigation optimization sensing uncertainty verification

Editors and affiliations

  • A. K. Hyder
    • 1
  • E. Shahbazian
    • 2
  • E. Waltz
    • 3
  1. 1.University of Notre DameNotre DameUSA
  2. 2.Lockheed-Martin CanadaMontrealCanada
  3. 3.Veridian SystemsAnn ArborUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-010-0556-2
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4020-0723-1
  • Online ISBN 978-94-010-0556-2
  • Series Print ISSN 1568-2609
  • Buy this book on publisher's site
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