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Proceedings Paper

Extraction of power lines from aerial images based on Hough transform
Author(s): Qinggang Wu; Jubai An; Rongrong Yang
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Paper Abstract

The extraction of power lines from aerial images and the distinguishing of them are of great significance to locate the points of the faults on power lines and to diagnose the components equipped on power lines. To solve the two problems, an algorithm composed of three steps is proposed as follows. Firstly, the edges of power lines are extracted by SWIFTS algorithm1, which is developed on the basis of the differentiation of Dissimilarity between power line and background. Secondly, to detect power lines, Hough transform (HT) is employed by taking advantage of its insensitive to noise. Lastly, a clustering algorithm based on Nearest Neighborhood (NN) is adopted to distinguish power lines. Experiments and analysis demonstrate that the proposed algorithm could effectively extract and distinguish power lines from aerial images.

Paper Details

Date Published: 28 October 2010
PDF: 7 pages
Proc. SPIE 7862, Earth Observing Missions and Sensors: Development, Implementation, and Characterization, 78620Q (28 October 2010); doi: 10.1117/12.869508
Show Author Affiliations
Qinggang Wu, Dalian Maritime Univ. (China)
Jubai An, Dalian Maritime Univ. (China)
Rongrong Yang, Ocean Univ. of China (China)


Published in SPIE Proceedings Vol. 7862:
Earth Observing Missions and Sensors: Development, Implementation, and Characterization
Xiaoxiong Xiong; Choen Kim; Haruhisa Shimoda, Editor(s)

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