Powerline vegetation management has been a labor intensive and costly practice for energy companies. This situation
may be improved with use of new positioning and remote sensing technologies. This paper provides reviews and
comparisons for a number of state-of-art powerline extraction and modeling methods using the aerial, radar and
laserscaning images. The prospect and feasibility of powerline surveillance using remote sensing technology are also
presented.
With the development of aerial aircraft, it has been possible that using the small unmanned aerial vehicles (UAV) for
power line corridors surveillance. In Queensland, Australia, the local electric power company used the small UAV loaded
the ordinary digital camera for power line surveillance. In order to extract the power lines automatically from the
cluttered natural background aerial images, we propose a power line detection method for a vision based on UAV
surveillance system. A Gabor filter is developed to remove background noise from the images prior to the Hough
transform being employed to detect straight lines. The experiment on real image data demonstrates that the proposed
approach is effective.
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