• DocumentCode
    1140701
  • Title

    Investigation of Fish-Eye Lenses for Small-UAV Aerial Photography

  • Author

    Gurtner, Alex ; Greer, Duncan G. ; Glassock, Richard ; Mejias, Luis ; Walker, Rodney A. ; Boles, Wageeh W.

  • Author_Institution
    Australian Res. Center for Aerosp. Autom. (ARCAA), Queensland Univ. of Technol., Brisbane, QLD
  • Volume
    47
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    709
  • Lastpage
    721
  • Abstract
    Aerial photography obtained by unmanned aerial vehicles (UAVs) is a rising market for their civil application. Small UAVs are believed to close gaps in niche markets, such as acquiring airborne image data for remote sensing purposes. Small UAVs can fly at low altitudes, in dangerous environments, and over long periods of time. However, their small lightweight construction leads to new problems, such as higher agility and more susceptibility to turbulence, which has a big impact on the quality of the data and their suitability for aerial photography. This paper investigates the use of fish-eye lenses to overcome field-of-view (FOV) issues for highly agile UAV platforms susceptible to turbulence. The fish-eye lens has the benefit of a large observation area (large FOV) and does not add additional weight to the aircraft, such as traditional mechanical stabilizing systems. We present the implementation of a fish-eye lens for aerial photography and mapping purposes, with potential use in remote sensing applications. We describe a detailed investigation from the fish-eye lens distortion to the registering of the images. Results of the process are presented using low-quality sensors typically found on small UAVs. The system was flown on a midsize platform (a more stable Cessna aircraft) and also on ARCAA´s small (<10 kg) UAV platform. The effectiveness of the approach is compared for the two sized platforms.
  • Keywords
    distortion; geophysical signal processing; image registration; photogrammetry; photographic lenses; remote sensing; remotely operated vehicles; ARCAA; aerial photography; airborne image acquisition; atmospheric turbulence; fish-eye lenses; image distortion; image registration; lightweight construction; remote sensing; unmanned aerial vehicles; Aerial photography; fish-eye lens; image registration; mapping; unmanned aerial vehicle (UAV);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2008.2009763
  • Filename
    4773211