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Proceedings Paper

Study on methods to extract transmission line information from high-resolution imagery
Author(s): Zhiqiang Xiao
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Paper Abstract

To obtain the transmission line information for the maintenance of high and ultrahigh voltage electrical network, some methods of automatic power line and spacer extraction from high-resolution remote sensing images are presented in this paper. Aiming at the features of power lines and spacers in the high-resolution remote sensing images, a local linear detector is used to detect pixels of linear features in any directions. According to the responses of the detector, a score image is constructed, and an optimum method is used to determine the threshold according to different background. Then the pixels of power lines and spacers can be detected automatically from the score image. After thinning of the pixels, a curve fitting method is applied to obtain segments of power lines and spacers. As the influence of many disturbing factors, the detected segments are discontinuous, and there are even some false detections. Based on shape information of the power lines and spacers, the correct segments are chosen, and they are connected into complete form of power lines or spacers. The experimental results indicate that our methods can accurately extract power lines and spacers with different shapes from the high-resolution remote sensing images.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952H (30 October 2009); doi: 10.1117/12.833434
Show Author Affiliations
Zhiqiang Xiao, State Key Lab. of Remote Sensing Science (China)
Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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