The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Articles | Volume XLI-B5
https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016
https://doi.org/10.5194/isprs-archives-XLI-B5-615-2016
15 Jun 2016
 | 15 Jun 2016

AUTOMATIC RAILWAY POWER LINE EXTRACTION USING MOBILE LASER SCANNING DATA

Shanxin Zhang, Cheng Wang, Zhuang Yang, Yiping Chen, and Jonathan Li

Keywords: Power line extraction, Mobile laser scanning, Quaternion algorithm, Hough voting, Point cloud

Abstract. Research on power line extraction technology using mobile laser point clouds has important practical significance on railway power lines patrol work. In this paper, we presents a new method for automatic extracting railway power line from MLS (Mobile Laser Scanning) data. Firstly, according to the spatial structure characteristics of power-line and trajectory, the significant data is segmented piecewise. Then, use the self-adaptive space region growing method to extract power lines parallel with rails. Finally use PCA (Principal Components Analysis) combine with information entropy theory method to judge a section of the power line whether is junction or not and which type of junction it belongs to. The least squares fitting algorithm is introduced to model the power line. An evaluation of the proposed method over a complicated railway point clouds acquired by a RIEGL VMX450 MLS system shows that the proposed method is promising.