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Contour Lines and DEM: Generation and Extraction

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Digital Earth Moving

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2181))

Abstract

Contour lines are, as Digital Elevation Models (DEM), 3D information describing the terrain topography. The aim of this work is to demonstrate how the use of a powerful DEM modeling structure, taking into account both representation characteristics, eases their collaboration for topography representation.

After regarding the link between contour lines and DEM, we introduce a new type of triangular representation for surface modeling: The Delaunay Constrained Triangulation developed to maintain the Delaunay nature of the final triangulation.

This efficient structure is used for 2.5D DEM design and contour lines management.We present the main properties and interest for DEM modeling with this structure before focusing on the contour lines management. The bilateral relationship between contour lines and DEM is studied in two Processing chains. First, the use isolines as input data for DEM design. Second, the extraction from triangulated DEM. We propose for both aspects automatic and easy to use processing chains exploiting the Delaunay structure properties.

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References

  1. Aumann G., Ebner H. and Tang L., “Automated derivation of skeleton lines from digitized contours”, International Archives of Phototgrammetry and Remote Sensing, 1990, 28(4), pp. 330–337.

    Google Scholar 

  2. Bertin E., “Diagrammes de Voronoi 2D et 3D: application en analyse d’images”, Ph.D thesis, TIMC-IMAG, Universitè Joseph Fourier-Grenoble 1, 1994.

    Google Scholar 

  3. Brandli M., Schneider B., “Shape modelling and analysis of terrain”, International Journal of Shape Modelling, vol. 1, No. 2, 1994, pp. 167–189.

    Article  Google Scholar 

  4. Chew L. P., “Constrained Delaunay Triangulation”, Algorithmica, vol. 4, no. 1, pp. 97–108, 1989.

    Article  MATH  MathSciNet  Google Scholar 

  5. Christensen A.H.J, “Fitting a triangulation to contour lines”, in Auto-Carto 8, 1988, Baltimore, pp. 57–67.

    Google Scholar 

  6. Edelsbrunner H., “Algorithms in combinatorial geometry” Springer Verlag, 1988.

    Google Scholar 

  7. De Floriani L., Falcidieno B. and Pienovi, C., “Delaunay-based representation of surfaces defined over arbitrarily shaped domains”, Computer vision, graphics and image processing, vol. 32, pp. 127–140, 1985.

    Article  Google Scholar 

  8. George P. L. and Borouchaki H., “Triangulation de Delaunay et maillage-application aux éléments finis” Hermès (eds.), 1997.

    Google Scholar 

  9. Preparata F.P. and Shamos M.I., “Computational geometry-An introduction” Springer Verlag, 1985.

    Google Scholar 

  10. Rippa S., “Minimal roughness of the Delaunay triangulation”, Computer Geometric Design, vol. 7, pp. 489–497, 1990.

    Article  MATH  MathSciNet  Google Scholar 

  11. Rognant L., Chassery J.M, Goze S., Planès J.G, “Triangulated Digital Elevation Model: definition of a new representation”, Proceedings of ISPRS’98, Stuttgart, 2-8 September.

    Google Scholar 

  12. Rognant L., Chassery J.M, Goze S., Planès J.G, “The Delaunay constrained triangulation: the Delaunay stable algorithms”, Proceedings of CAGD’99, London, 14-16 July.

    Google Scholar 

  13. Rognant L., “Triangulation Contrainte de Delaunay: application a la représentation de MNT et a la fusion de MNT radar”, Ph.D thesis, Laboratoire des images et signaux (LIS)/Institut National Polytechnique de Grenoble (INPG), Université Joseph Fourier-Grenoble 1, 2000.

    Google Scholar 

  14. Schneider B., “Geomorphologically sound reconstruction of digital terrain surfaces from contours” Proceedings of the 8th Symposium on spatial Data Handling, Vancouver-Canada, 1998, pp. 657–667

    Google Scholar 

  15. Van Kreveld M., “Efficient Methods for Isoline Extraction From a TIN”, Int. J. Geographical Information Systems, Vol 10, No. 5, pp 523–540, 1996.

    Article  Google Scholar 

  16. Chen Z. and Guevara J.A., “Systematic selection of very important points (VIP) from digital terrain model for constructing triangular irregular networks”, Proceedings of Auto carto 8, Baltimore, 1987, pp. 50–56

    Google Scholar 

  17. Ware M.J., “A procedure for automatically correcting invalid flat triangles occurring in triangulated contour data”, Computers and Geosciences, 1998, 24(2), PP. 141–150.

    Article  Google Scholar 

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© 2001 Sptinger-Verlag Berlin Heidelberg

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Rognant, L., Planès, J.G., Memier, M., Chassery, J.M. (2001). Contour Lines and DEM: Generation and Extraction. In: Westort, C.Y. (eds) Digital Earth Moving. Lecture Notes in Computer Science, vol 2181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44818-7_13

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  • DOI: https://doi.org/10.1007/3-540-44818-7_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42586-1

  • Online ISBN: 978-3-540-44818-1

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