• DocumentCode
    1481137
  • Title

    Comparison of Automatic DSM Generation Modules by Processing IKONOS Stereo Data of an Urban Area

  • Author

    Eckert, Sandra ; Hollands, Thomas

  • Author_Institution
    Inst. for the Protection & Security of the Citizen, Eur. Comm., Ispra, Italy
  • Volume
    3
  • Issue
    2
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    162
  • Lastpage
    167
  • Abstract
    This study deals with the evaluation of four different image-processing software modules for the generation of digital surface models from very high-resolution stereo satellite data. The analysis was done in an urban area due to the growing interest in 3-D information over built-up areas. Depending on the different geometric model approaches used by the different software packages, shifts between 3.06-3.27 m between the digital surface models (DSMs) and the reference DSM were measured. The vertical RMSE of the four tested software packages range between 2.96-14.01 m. However, the visual evaluation resulted in a different ranking and does not confirm the quantitative results entirely. The results show that, depending on the building type to be extracted, the choice of software package may vary. The challenges of automatic DSM extraction in urban areas and the performance of current software package modules to address them are discussed. Potential improvements for automatic DSM extraction in urban areas are identified.
  • Keywords
    geophysical image processing; geophysical techniques; image matching; remote sensing; IKONOS stereo data; automatic DSM extraction; automatic DSM generation modules; digital surface models; high-resolution stereo satellite data; image matching; image-processing software modules; reference DSM; remote sensing; tested software packages; urban area; vertical RMSE; visual evaluation; Data mining; Earth; Information analysis; Optical sensors; Remote sensing; Satellites; Software packages; Solid modeling; Surface topography; Urban areas; Image matching; remote sensing; software;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2010.2047096
  • Filename
    5456205