LAI Xudong, DAI Dachang, ZHENG Min, et al. Powerline three-dimensional reconstruction for Li DAR point cloud data. [J]. Journal of Remote Sensing 18(6):1223-1229(2014)
LAI Xudong, DAI Dachang, ZHENG Min, et al. Powerline three-dimensional reconstruction for Li DAR point cloud data. [J]. Journal of Remote Sensing 18(6):1223-1229(2014) DOI: 10.11834/jrs.20144075.
Powerline three-dimensional reconstruction for Li DAR point cloud data
High-voltage power transmission line is an important infrastructure of a country
the breakdown of power facilities may bring huge damage to the daily lives of the people and the economy of the country. Thus
management and monitoring of power f acilities is important. Traditional engineering measures have the drawbacks of high workload
high risk
and low efficiency. Airborne Li DAR can overcome these drawbacks
and cannot be easily affected by environment
making Li DAR an important d evelopment trend for power line measurement. At present
airborne Li DAR is mainly used for the reconstruction of urban areas and natural features; extraction and modeling of power facilities is still in its infancy. The main problems are too much human i ntervention
low accuracy
and lack of continuity. Therefore
this paper proposes a new method based on the analysis of the characteristics of power facilities and extraction algorithm. First
the optimal catenary fitting geometry model of the powerline was o btained based on the powerline characteristics. The nonlinear catenary equation was simplified to linear polynomial form based on the principle of Lagrange polynomial to improve the operation efficiency. Second
the projection direction of the powerline in the XOY plane was determined based on a statistic method. Afterward
the vertical plane that contains the starting and end points and are perpendicular to the power line were also determined based on the characteristic of the end laser point. The distance of all points to the plane as X-axis parameters was calculated and the points corresponding to the Z coordinate values as Y-axis parameters were obtained to determine the optimal plane coordinate system. Finally
the quadratic-polynomial-limited least square method was used to fit the powerlines
obtain the optimal parameters
and generate the final power line model. Experiments on real data showed that the proposed method improved the facility and veracity of powerline fitting. The precision reached ± 1. 740 cm both in the vertical and horizontal planes. The proposed method can quickly fit the powerline and reach a high accuracy
which are significant in the study of 3D reconstruction by Li DAR point cloud.