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Digital Mapping Laboratory
Carnegie Mellon University


``Research in Image Understanding and Automated Cartography: 1997-1998''.    (PDF, 5.670 Mb; PostScript, 12.436 Mb)
David M. McKeown,  G. Edward Bullwinkle,  Steven Douglas Cochran,  Wilson A. Harvey,  Chris McGlone,  Jeff McMahill,  Michael F. Polis,  Jefferey A. Shufelt.,
Technical Report CMU-CS-98-158,
Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213,
September 1998.
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Abstract

This technical report presents an overview of our research in image understanding and automated cartography to support efficient representation and rapid construction of virtual world databases. Topics discussed include the use of aerial and terrestrial imagery to phototexture site models for visualization using photogrammetric principles, the refinement of multi-image stereo for DEM generation, and experiments towards the development of rigorous metrics and methods to evaluate cartographic feature extraction systems. Extensions to cartographic feature generalization, particularly to consider the effect of the terrain (3D) and proximity to other features (2D) are presented. Analysis of areal drainage to support integration into a simulation database using Voroni tessellation is also described.


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