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The automatic detection method for airport runway

Authors: Xinwei Bai; Yu Han; Di Wu; Fengjing Zhang;

The automatic detection method for airport runway

Abstract

Runway is the most significant sign of airport because of its obvious line and edge features, so traditional methods always use the Hough transform to accomplish the detection. Given the problems that Hough transform needs to consider a lot of factors which spends a lot of time, and there are any breakpoints in results, an improved algorithm based on Hough transform is proposed. First, using the idea of straight-line support range, the range of the phase angle is reduced to a small area to detect, which greatly reducing the amount of computation. Then, the line segments which satisfy certain conditions and have the breakpoints are connected based on the method of line connection. Finally, according to the characteristics of the runway, the unrelated parallel lines are removed, the airport runway is figured out quickly and accurately.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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