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Research in image understanding and automated cartography:1995-1996

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.

Citation

D. McKeown, M. Bowling, E. Bulwinkle, S. Cochran, S. Ford, W. Harvey, D. Kalp, C. McGlone, J. McMahill, P. Michael, J. Schufelt, D. Yocum. "Research in image understanding and automated cartography:1995-1996". Technical Report, Carnegie Mellon University, January 1997.

Keywords:  
Category: Technical Report

BibTeX

@manual{McKeown+al:97,
  author = {David McKeown and Michael Bowling and Edward Bulwinkle and Steven
    Douglas Cochran and Stephen Ford and Wilson Harvey and Dirk Kalp and Chris
    McGlone and Jeff McMahill and Polis Michael and Jefferey Schufelt and
    Daniel Yocum},
  title = {Research in image understanding and automated cartography:1995-1996},
  Institution = {Carnegie Mellon University},
  year = 1997,
}

Last Updated: March 09, 2007
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