基于激光扫描仪数据的建筑物立面特征信息提取

Extraction of building's fa? ade information from laser Scanning data

基于激光扫描数据进行建筑物三维建模,可以采用扫描数据直接建模,配以影像纹理;也可用扫描数据提取建筑物立面的特征信息,配以单影像建模。而后者速度快,效率高,且能满足三维城市建模的一般精度要求。对于建筑物立面的激光扫描数据来说,具有数据量大,点云复杂等特点,提取建筑物特征信息具有一定难度。本文提出一种“水平点参照系”特征提取方法,这种方法运行速度快,能够减少数据量,有效剔除噪声,并得到实际应用的检验。

Two ways are usually used in 3D reconstruction with laser scanning data.The first one is reconstructing from scanning data directly, accompanied with image texture.The second is extracting building's fa?ade information from scanning data,then supplement reconstruction with single image.The latter one is much speedier and more efficient,and it can achieve the precision requirement of 3D city reconstruction.For the laser scanning data of a building fa?ade,which is featured with huge amount of data and complex point cloud,it is difficult to extract building's feature information.In this paper,an information mining method named 'level-point reference' is presented.This method is efficient.It can reduce the amount of data and eliminate noise data effectively.It is testified in practical projects.