基于激光强度的建筑立面点云分类及信息提取

Point cloud classification and the features extraction of building facades with the corrected laser intensity value

摘要:

针对地面三维激光扫描仪的点云激光强度值，提出了一种基于激光雷达方程的数据模型改正方法。通过将激光强度值进行角度和距离改正,分析数据模型的改正效果，并利用改正后的激光强度值对建筑立面点云进行分类及建筑立面信息的特征提取。实验表明：改正模型能对点云激光强度值进行有效补偿，使得同类物体的激光强度值趋于统一。因此，利用改正后的点云激光强度值对建筑立面点云进行分类及特征提取，能够保证分类精度及目标识别效果。

Abstract:

A correction method for data model based on laser radar equation was presented for the laser intensity of point cloud from 3D laser scanning.The laser intensity value is corrected according to the different angles and distances, and the correction effect of the data model is also analyzed.With the corrected laser intensity value, the point cloud of building facades could be classified and the features could be extracted. The experiments results indicated that the correction model could effectively compensate laser intensity value, thus making the laser intensity value of congeneric objects trend to be unified.Therefore, the classification of point cloud and the feature extraction of building facades with corrected laser intensity value can guarantee the classification precision and target recognition effect.