Abstract
This paper presents an overview 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, we present a description of models for spatial database systems and outline requirements for database support for knowledge-based photo interpretation. Next we present a brief description of the organization of MAPS, the Map-Assisted Photo interpretation System. 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 manmade and natural features in the Washington D.C. area. Finally, we discuss recent work in the area of rule-based systems for photo interpretation. The system, SPAM, consists of three major components, an image/map database, a collection of image processing tools, and a rule-based system whose domain of expertise is commercial airports. ∗ ∗ This paper was presented at the Specialist Workshop on Pattern Recognition in Photogrammetry, Graz, Austria on September 27, 1983.
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