Laser & Optoelectronics Progress, Volume. 57, Issue 24, 242802(2020)
Impact of Plant Surface Features on 3D Laser Point Cloud
This study aims to investigate the impacts of plant color, surface roughness, and ranging distance on LiDAR data intensity and ranging accuracy. The multi-featured plant surface was measured using a Leica C05 laser scanner and South Total Station. The results demonstrate that the ranging error is 1-5 mm when measuring targets within 100 m. When the distance exceeds 90 m, the ranging error of the laser point cloud increases approximately 1 mm with each increase of 10 m in station distance. Color, surface roughness, and ranging distance affected the LiDAR data intensity and ranging accuracy. The white color laser had the highest intensity. There was a strong relationship between LiDAR data intensity and ranging accuracy, but no obvious relationship between surface roughness and LiDAR data intensity. The influences of plant and non-plant color on LiDAR data intensity were similar.
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Wenbing Xu, Xiaojun Cheng. Impact of Plant Surface Features on 3D Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242802
Category: Remote Sensing and Sensors
Received: Feb. 20, 2020
Accepted: Mar. 12, 2020
Published Online: Nov. 16, 2020
The Author Email: Cheng Xiaojun (cxj@tongji.edu.cn)