Wenbing Xu, Xiaojun Cheng. Impact of Plant Surface Features on 3D Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2020, 57(24): 242802
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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.