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

審美家

書目名稱A Structural Analysis of Complex Aerial Photographs影響因子(影響力)




書目名稱A Structural Analysis of Complex Aerial Photographs影響因子(影響力)學(xué)科排名




書目名稱A Structural Analysis of Complex Aerial Photographs網(wǎng)絡(luò)公開度




書目名稱A Structural Analysis of Complex Aerial Photographs網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱A Structural Analysis of Complex Aerial Photographs被引頻次




書目名稱A Structural Analysis of Complex Aerial Photographs被引頻次學(xué)科排名




書目名稱A Structural Analysis of Complex Aerial Photographs年度引用




書目名稱A Structural Analysis of Complex Aerial Photographs年度引用學(xué)科排名




書目名稱A Structural Analysis of Complex Aerial Photographs讀者反饋




書目名稱A Structural Analysis of Complex Aerial Photographs讀者反饋學(xué)科排名

氣候

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.

morale

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.

LANCE

,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.

使顯得不重要

insomnia

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

或者發(fā)神韻

Hyperopia

https://doi.org/10.1007/978-1-4615-8294-6algorithms; artificial intelligence; integral; pattern; pattern recognition

dendrites

Gnrh670