基于LiDAR点云的建筑物激光扫描重构方法仿真

Simulation of LIDAR Point Cloud Based Laser Scanning Reconstruction Method For Buildings

为了克服传统方法的建筑物重构方法点云数据匹配不理想问题,提出基于LiDAR点云的建筑物激光扫描重构方法。将LiDAR获取的点云数据做预处理,其中包括数据配准与坐标转换,提取出点云的特征点,根据该特征点获取建筑物的基本轮廓,重构建筑物模型;通过搜索最近点实施点云数据匹配,利用激光扫描完成对建筑物的重构。为验证研究方法的有效性,设计一次仿真。实验结果证明了研究方法下建筑物点云数据匹配精度高,重构效果理想,也完善了建筑物重构的视觉感知。

In this paper,a method of building laser scanning reconstruction based on the LiDAR point cloud was put forward.Firstly,the point cloud data acquired by LiDAR was preprocessed,including data registration and coordinate transformation.Secondly,the feature points of the point cloud were extracted.According to the feature points,the basic outline of the building was obtained and the building model was reconstructed.Thirdly,the point cloud data was matched by searching the nearest point.Finally,the building reconstruction was completed by laser scanning.In order to verify the effectiveness of the method,a simulation experiment was designed.Following conclusions can be drawn from experimental results.The point cloud data matching accuracy is high.The reconstruction effect is ideal.The visual perception of building reconstruction is perfected.