摘要
三维激光扫描仪对地面进行扫描时,会产生很多噪声点,对后续研究带来很多不便。针对三维激光扫描数据的特点,将点云数据分成悬浮在点云上方的距离地面较远的噪声数据及与地面点混合在一起距离地面较近的噪声数据,将测区数据分块并提取拟合点,用最小二乘法拟合曲面来剔除距离实体较远的点,然后将剔除后的数据建立空间三角格网模型,拟合局部细小平面来剔除距离地面较近的噪声点。实验结果表明,此种方法能有效地将地面点云中的噪声点剔除干净。
When the three-dimensional laser scanner is used to scan the ground,a lot of noise data are generated,which will bring much inconvenience on the follow-up study.In view of the characteristics of 3-D scanning data,the point cloud data are classified into two categories,one is the noise data which is above the ground and far from it,the other is the noise data which mix with the ground data.Then the survey area is divided into several portions and the fitting points are extracted.The best-fit surface by the least-squares method is used to remove the first category of noise data.Then a space triangular grid is set up with the point cloud after exclusion of noise data.Local planes are fit to remove the second category of noise data.The result shows that,this method can remove the noise data in the point cloud effectively.
基金
国家环保公益性行业科研专项资助项目(200809128)
