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Titlebook: A Structural Analysis of Complex Aerial Photographs; Makoto Nagao,Takashi Matsuyama Book 1980 Plenum Press, New York 1980 algorithms.artif

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發(fā)表于 2025-3-21 16:08:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)A Structural Analysis of Complex Aerial Photographs
影響因子2023Makoto Nagao,Takashi Matsuyama
視頻videohttp://file.papertrans.cn/143/142270/142270.mp4
學(xué)科分類(lèi)Advanced Applications in Pattern Recognition
圖書(shū)封面Titlebook: A Structural Analysis of Complex Aerial Photographs;  Makoto Nagao,Takashi Matsuyama Book 1980 Plenum Press, New York 1980 algorithms.artif
影響因子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 an
Pindex Book 1980
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沙發(fā)
發(fā)表于 2025-3-21 22:33:20 | 只看該作者
https://doi.org/10.1007/978-1-4842-3279-8bjectivity. The development of various sensors for remote sensing has enabled us to measure multispectral properties of objects over a wide range of the spectrum, and techniques for pattern recognition and digital picture processing have facilitated the quantitative measurements of the situations.
板凳
發(fā)表于 2025-3-22 02:11:51 | 只看該作者
https://doi.org/10.1007/978-1-4842-3279-8areness for houses and buildings, textural properties for grasslands and forest areas, etc. The quality of these measurements, obtained by picture processing and feature extraction, has crucial effects on the higher-level recognition process. Thus, the early stages of feature extraction must be as accurate as possible to obtain good final results.
地板
發(fā)表于 2025-3-22 05:58:20 | 只看該作者
,HTTP and the?HttpClient Module,cess transforms raw picture data into some well-structured form which can supply enough information to the knowledge-based syntactic and semantic processing. On the other hand, the syntactic and semantic processing gives the information about the global structure of the scene which guides the local analysis during picture data processing.
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Book 1980and 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 an
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https://doi.org/10.1007/978-1-4615-8294-6algorithms; artificial intelligence; integral; pattern; pattern recognition
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