Managing resolution in digital elevation models using image processing techniques

  • Authors:
  • Rolando Quintero;Serguei Levachkine;Miguel Torres;Marco Moreno;Giovanni Guzman

  • Affiliations:
  • Centre for Computer Research, National Polytechnical Institute, Mexico City, Mexico;Centre for Computer Research, National Polytechnical Institute, Mexico City, Mexico;Centre for Computer Research, National Polytechnical Institute, Mexico City, Mexico;Centre for Computer Research, National Polytechnical Institute, Mexico City, Mexico;Centre for Computer Research, National Polytechnical Institute, Mexico City, Mexico

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
  • Year:
  • 2005

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Abstract

In this work, we propose a set of algorithms to manage the resolution of DEM for simulation processes. First, we present an application to handle the huge quantity of data contained in DEM for real-time rendering by discriminating the less significant elevation data. On the other hand, as a second step of the process, we extend the algorithm to increase the spatial resolution of DEM for cases when it is needed. Finally, we introduce a method for increasing spectral resolution of DEM by using a skeletonization process. The algorithms were developed to be used with raster data sets, although similar considerations can be taken for vector data sets.