The research presented in this paper is focused on extracting building's feature from laser scanning data, especially captured by vehicle-borne laser scanning systems.
本文研究从激光扫描数据中进行建筑物特征提取，研究重点是车载激光扫描数据分类和建筑物特征提取。
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.
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。
This study proposed an algorithm for building model reconstruction from airborne laser scanning data, based on feature line detection and separation of planimetric and height computations.
该方法以投影为基础，以平高分解为手段，通过在多个投影平面内逐步确定平面、高程信息实现特征线提取及模型重建。
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