2008 23rd International Conference Image and Vision Computing New Zealand 2008
DOI: 10.1109/ivcnz.2008.4762118
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Knowledge-based power line detection for UAV surveillance and inspection systems

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Cited by 126 publications
(72 citation statements)
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“…According to the reference of numerous literatures and the analysis of practical problems, Combined expert opinion, this study used retain the impact factor, delete the impact factor, merge the impact factor , conversion the impact factor, increase the impact factor and other ways to classified influence factor [6]. The influence factors are classified and the results are shown in Table 3.…”
Section: Relatively High Economymentioning
confidence: 99%
“…According to the reference of numerous literatures and the analysis of practical problems, Combined expert opinion, this study used retain the impact factor, delete the impact factor, merge the impact factor , conversion the impact factor, increase the impact factor and other ways to classified influence factor [6]. The influence factors are classified and the results are shown in Table 3.…”
Section: Relatively High Economymentioning
confidence: 99%
“…A knowledge-based power line detection method is proposed for a vision based UAV surveillance and inspection system [16]. The method uses an improved canny edge detector to detect the edge of a transmission line.…”
Section: Introductionmentioning
confidence: 99%
“…Unmanned Aerial Vehicle (UAVs) provides a cheap and flexible way to gather spatial data from power line corridors. Overhead power line inspection in remote and rural areas is an ideal application for UAVs [1]. In order to achieve automatic power line surveillance and inspection using UAVs, a power line detection method is required.…”
Section: Introductionmentioning
confidence: 99%
“…Reference [3] proposed a power transmission line detection methods, they use the method proposed in [4][5] to extract the linear object, then detect the power line in each sub-block and connect them by kalman filter. Li et al [1] proposed a toward automatic power line detection for surveillance system using pulse coupled neural filter and Hough transform. They removed the background noise and generate edge map use PCNN, and an improved Hough transform was applied find parallel lines in Hough space as the detection results.…”
Section: Introductionmentioning
confidence: 99%