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3D Power Line Extraction from Multiple Aerial Images

Department of Civil Engineering, Chonnam National University, Gwangju 61186, Korea
Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
Author to whom correspondence should be addressed.
Sensors 2017, 17(10), 2244;
Received: 8 August 2017 / Revised: 12 September 2017 / Accepted: 22 September 2017 / Published: 29 September 2017
(This article belongs to the Section Remote Sensors, Control, and Telemetry)
PDF [8514 KB, uploaded 1 October 2017]


Power lines are cables that carry electrical power from a power plant to an electrical substation. They must be connected between the tower structures in such a way that ensures minimum tension and sufficient clearance from the ground. Power lines can stretch and sag with the changing weather, eventually exceeding the planned tolerances. The excessive sags can then cause serious accidents, while hindering the durability of the power lines. We used photogrammetric techniques with a low-cost drone to achieve efficient 3D mapping of power lines that are often difficult to approach. Unlike the conventional image-to-object space approach, we used the object-to-image space approach using cubic grid points. We processed four strips of aerial images to automatically extract the power line points in the object space. Experimental results showed that the approach could successfully extract the positions of the power line points for power line generation and sag measurement with the elevation accuracy of a few centimeters. View Full-Text
Keywords: power line; drone; photogrammetry; 3D mapping; cubic grid points power line; drone; photogrammetry; 3D mapping; cubic grid points

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Oh, J.; Lee, C. 3D Power Line Extraction from Multiple Aerial Images. Sensors 2017, 17, 2244.

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