植物表面特征对三维激光点云的影响

Impact of Plant Surface Features on 3D Laser Point Cloud

利用Leica C05三维激光扫描仪和南方全站仪以多种特征的植物表面为观测目标,获取点云数据和距离参考值,研究不同植物表面的颜色、粗糙度和测站距离对点云的测距精度和激光回波强度的影响。实验结果表明:测站距离小于100 m时,扫描仪测距误差为1~5 mm,超过90 m时,测站距离每增加10 m,激光点云测距误差约增加1 mm;颜色、粗糙度和测站距离对三维激光扫描仪的激光回波强度和测距精度有影响;颜色对激光回波强度的影响较大,白色的激光回波强度最强,黑色最低,测距精度与激光回波强度有较强的相关性;植物表面粗糙度对激光回波强度的影响较低,没有明显的相关性;植物和非植物的颜色对激光回波强度的影响基本类似。

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.