A Structural Analysis of Complex Aerial Photographs

1. Front Matter

   Pages i-xxiii

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2. Introduction

   • Makoto Nagao, Takashi Matsuyama

   Pages 1-13

3. Overview of the System

   • Makoto Nagao, Takashi Matsuyama

   Pages 14-31

4. Some Basic Techniques in Picture Processing and Feature Extraction

   • Makoto Nagao, Takashi Matsuyama

   Pages 32-82

5. Structuring of Picture Data

   • Makoto Nagao, Takashi Matsuyama

   Pages 83-97

6. Extraction of Characteristic Regions

   • Makoto Nagao, Takashi Matsuyama

   Pages 98-118

7. Object Recognition

   • Makoto Nagao, Takashi Matsuyama

   Pages 119-146

8. Control Structure of the System

   • Makoto Nagao, Takashi Matsuyama

   Pages 147-170

9. Performance Evaluation

   • Makoto Nagao, Takashi Matsuyama

   Pages 171-179

10. Conclusion

    • Makoto Nagao, Takashi Matsuyama

    Pages 180-184

11. Back Matter

    Pages 191-199

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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

• Kyoto University, Kyoto, Japan

  Makoto Nagao, Takashi Matsuyama

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