CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE
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This paper describes a representational mechanism for constructing 3- dimensional large scale spatial organizations suitable for applications in areas such as cartography and land use studies, photo interpretation for reconnaissance and surveillance, and geological modeling for resource analysis. It focuses on the representation and utilization of map information as a knowledge source for photo-interpretation, in particular, the description of a highly detailed, large scale geographic area Washington, D.C. Methods of data acquisition, query specification and geometric operations on map data are discussed. These ideas have been implemented into a working map database system, CONCEPTMAP, as a component of MAPS Map Assisted Photo-interpretation System. Our ongoing research in interactive photo-interpretation work stations.