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
Link To Document