A Structural Analysis of Complex Aerial Photographs

  • Makoto Nagao
  • Takashi Matsuyama

Part of the Advanced Applications in Pattern Recognition book series (AAPR)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Makoto Nagao, Takashi Matsuyama
    Pages 1-13
  3. Makoto Nagao, Takashi Matsuyama
    Pages 14-31
  4. Makoto Nagao, Takashi Matsuyama
    Pages 32-82
  5. Makoto Nagao, Takashi Matsuyama
    Pages 83-97
  6. Makoto Nagao, Takashi Matsuyama
    Pages 98-118
  7. Makoto Nagao, Takashi Matsuyama
    Pages 119-146
  8. Makoto Nagao, Takashi Matsuyama
    Pages 147-170
  9. Makoto Nagao, Takashi Matsuyama
    Pages 171-179
  10. Makoto Nagao, Takashi Matsuyama
    Pages 180-184
  11. Back Matter
    Pages 191-199

About this book


It is most appropriate that the first volume to appear in the series "Advanced Applications in Pattern Recognition" should be this monograph by Nagao and Matsuyama. The work described here is a deep unification and synthesis of the two fundamental approaches to pat­ tern recognition: numerical (also known as "statistical") and struc­ tural ("linguistic," "syntactic"). The power and unity of the meth­ odology flow from the apparently effortless and natural use of the knowledge-base framework illuminated by the best results of artificial intelligence research. An integral part of the work is the algorithmic solution of many hitherto incompletely or clumsily treated problems. It was on the occasion of a laboratory visit in connection with the 4th IJCPR (of ~hich Professor Nagao was the very able Program Chairman) that I saw in operation the system described here. On the spot I expressed the desire to see the work described for the inter­ national technical audience in this series and the authors were kind enough to agree to contribute to a new and unknown series. With the publication of this monograph on the eve of the 5th ICPR my wish is fu1fi11~d. I want to thank here the authors and Plenum Publishing Corporation for making this volume and the series a reality.


algorithms artificial intelligence integral pattern pattern recognition

Authors and affiliations

  • Makoto Nagao
    • 1
  • Takashi Matsuyama
    • 1
  1. 1.Kyoto UniversityKyotoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-8294-6
  • Copyright Information Plenum Press, New York 1980
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4615-8296-0
  • Online ISBN 978-1-4615-8294-6
  • About this book