基于强度与颜色信息的地面LiDAR点云联合分类方法

Joint Classification Method for Terrestrial LiDAR Point Cloud Based on Intensity and Color Information

提出了一种地面LiDAR点云强度分类的新方法,即利用点云的色彩信息,对强度分类进行约束。与现有的单一利用强度分类方法比较,该方法利用颜色对强度进行补充,建立了对激光强度纠正结果的容错机制,改善了强度纠正模型无法得到最优纠正结果而导致的分类效果不佳的问题。采用Faro Focus 3D120地面扫描仪采集的强度和颜色数据进行实验,结果表明该方法可以提高基于激光强度的三维点云分类精度,在激光强度纠正结果不理想的情况下,也可得到可信度较高的分类结果。

A new classification method for terrestrial LiDAR point cloud intensity is proposed,which uses the color information of point cloud to constrain the intensity classification.Compared with the existing method solely based on intensity classification,the proposed method uses the color-to-strength supplement to establish the fault-tolerant mechanism of the laser intensity correction results,thus improving the problem of poor classification resulted from the fact that the intensity correction model cannot get the best correction result.The data of intensity and color information of the Faro Focus 3 D120 terrestrial laser scanner are investigated in the experiment.The results indicate that the proposed method can improve the accuracy of the three-dimensional point cloud data classification and can also improve the credibility and reliability of classification results even when the intensity data are poorly calibrated.