• DocumentCode
    494350
  • Title

    Synthesizing Large-Scale Virtual Terrain from Image Atlas

  • Author

    Zhao, Rui-Bin ; Pang, Ming-Yong

  • Author_Institution
    Dept. of Educ. Technol., Nanjing Normal Univ., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    242
  • Lastpage
    246
  • Abstract
    In this paper, a novel algorithm to synthesize large-scale virtual terrain from a set of images is presented based on digital image processing technologies and radial weighted blending method. The algorithm first creates standardized terrain-blocks from the images, and then smoothes the blocks by employing fast Fourier transform (FFT) and butter worth low-pass filter. A radial-weighted defined on each block, which is used to synthesize four local neighboring blocks to a single blended area, is subsequently constructed for each block. As a result, a complete and smooth large-scale terrain can be obtained by blending operator with the radial-weights. The algorithm also provides user a tool of controlling terrain by adjusting several parameters. Experiments show that our algorithm can generate terrains with various scales and styles, fast and effectively.
  • Keywords
    Butterworth filters; fast Fourier transforms; image processing; low-pass filters; FFT; butter worth low-pass filter; digital image processing technology; fast Fourier transform; image atlas; large-scale virtual terrain synthesis; radial weighted blending method; Application software; Computational modeling; Digital elevation models; Digital images; Educational technology; Fractals; Geographic Information Systems; Large-scale systems; Synthetic aperture radar interferometry; Terrain mapping; image blending; large scale DEM (Digital Elevation Models); terrain synthesis; virtual terrain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.221
  • Filename
    5070143