KNOWLEDGE-BASED AERIAL PHOTO INTERPRETATION

被引：24

作者：

MCKEOWN, DM

机构：

[1] Carnegie-Mellon Univ, Dep of, Computer Science, Pittsburgh, PA,, USA, Carnegie-Mellon Univ, Dep of Computer Science, Pittsburgh, PA, USA

来源：

PHOTOGRAMMETRIA | 1984年 / 39卷 / 03期

关键词：

DATABASE SYSTEMS - Applications - PATTERN RECOGNITION - Applications - SYSTEMS SCIENCE AND CYBERNETICS - Artificial Intelligence;

D O I：

10.1016/0031-8663(84)90004-8

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

An overview is presented of work in two areas that are crucial towards the development of automated tools for aerial photo interpretation: large-scale spatial databases, and rule-based systems for photo interpretation. First, models for spatial database systems are described, and requirements for database support for knowledge-based photo interpretation are outlined. The organization of MAPS, the Map-Assisted Photo interpretation System, is then briefly described. MAPS is a large integrated database system containing high-resolution aerial photographs, terrain, digitized maps, and other cartographic products, combined with detailed 3D descriptions of man-made and natural features in the Washington D. C. area. Finally, recent work in the area of rule-based systems for photo interpretation is discussed.

引用

页码：91 / 123

页数：33

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