• DocumentCode
    3023934
  • Title

    Analysis of Terrain Roughness Based on Statistics

  • Author

    Dong-zhang Xiao ; Qiao-Li Jian ; Meng Zou

  • Author_Institution
    Key Lab. of Bionic Eng., Jilin Univ., Changchun, China
  • fYear
    2013
  • fDate
    29-30 June 2013
  • Firstpage
    224
  • Lastpage
    226
  • Abstract
    A method based on statistics was proposed. A distance laser sensor equipment was used to obtain digital surfaces of three kinds of rough terrains, which were prepared with three particle sizes of quartz. The results of analyzing the discrete data of digital surfaces indicated that there was a good relationships between average root mean-squared height, average terrain energy and average particle size dav, which meant that terrain energy can be as a standard to evaluate the roughness of a terrain. Double logarithmic auto power spectrum density curves of rough terrains were drawn and the linear equations of double logarithmic auto power spectrum density of curves were given. The slopes of fitting linear equations lg(b) had a increasing relation with the roughness of terrain, which indicated that the positions of fitting straight lines of double logarithmic auto power spectrum density curve can also evaluated the roughness of a terrain.
  • Keywords
    distance measurement; geophysical equipment; geophysical techniques; measurement by laser beam; particle size; sensors; statistical analysis; surface roughness; surface topography measurement; average particle size; average root mean-squared height; average terrain energy; digital surface; distance laser sensor equipment; double logarithmic auto power spectrum density curve; linear equation; quartz; statistical method; surfaces roughness; terrain roughness analysis; Fitting; Lasers; Measurement by laser beam; Rough surfaces; Soil measurements; Surface roughness; Surface treatment; distance laser sensor; statistics; terrain roughness; transportation engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICDMA.2013.52
  • Filename
    6597971