The growth of trees in the transmission corridor has a great impact on the transmission line. It is essential to accurately detect the trees that significantly affected the safety of transmission line. Therefore, a method of danger tree detection and tree number estimation based on UAV LiDAR data was proposed in this paper. Firstly, the power line points, ground points, and vegetation points were accurately extracted by rapidly automatic processing the laser point cloud in the transmission corridor. Secondly, the power line was segmented, and then the location and range of tree barrier area were determined by analyzing the safe distance between power lines and vegetation points. Finally, the point clouds in the tree barrier area were divided into single trees, and the number of single trees was counted to achieve accurate estimation of the number of danger trees. The results indicates that the UAV laser point cloud effectively detect the tree barrier in the transmission channel and accurately estimate the number of trees need to be felled with an overall accuracy of 92.3%, which provides not only remote sensing technology support for the safety of transmission line, but also reliable basis for the grid operation and maintenance units to make plan for tree cutting.
ZHANG Su
,
QI Lizhong
,
HAN Wenjun
,
ZHU Xiaoxiao
,
XI Xiaohuan
,
WANG Cheng
,
WANG Pu
,
NIE Sheng
. Danger tree detection and tree number estimation based on UAV LiDAR data[J]. Journal of University of Chinese Academy of Sciences, 2020
, 37(6)
: 760
-766
.
DOI: 10.7523/j.issn.2095-6134.2020.06.006
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