• DocumentCode
    527152
  • Title

    Comparison of popular methods for simplifying terrain based on grid DEMs

  • Author

    Dong Youfu ; Tang Guoan

  • Author_Institution
    Coll. of Civil Eng., Nanjing Univ. of Technol., Nanjing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    227
  • Lastpage
    230
  • Abstract
    It is very necessary to construct multi-scale DEMs. And terrain simplification algorithms based on DEMs of high resolution offer an effective solution to approach multi-scale DEMs. Taking Very Important Points and Three- Dimensional Douglas-Peucker as examples, this paper evaluates popular methods for simplifying terrain from dense grid DEMs by extracting and comparing elevation statistical parameters, elevation autocorrelation information, terrain structural characteristics and terrain basic factors. The results show that there are much difference of the DEMs generated by the two methods. Users of DEMs should be aware of the strengths and weaknesses of the different methods in addition to their own special purpose before producing multi-scale DEMs.
  • Keywords
    digital elevation models; geographic information systems; statistical analysis; terrain mapping; dense grid DEM; digital elevation model; elevation autocorrelation information; elevation statistical parameters; multiscale DEM construction; terrain basic factors; terrain simplification algorithm; terrain structural characteristics; three-dimensional Douglas-Peucker; Biological system modeling; Computers; Digital elevation models; Feature extraction; Mathematical model; Surface topography; Tin; Digital Elevation Models; Terrain Simplify; Three-Dimensional Douglas-Peucker; Very Important Points;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5568378
  • Filename
    5568378