Design of 3D Building Model Based on Airborne LiDAR Point Cloud

Airborne LiDAR is a new technology that can quickly obtain high-precision 3D information on the ground and ground objects. The accurate 3D spatial coordinate information and DSM data it obtains provide a new and effective observation method for the establishment of a smart city 3D model. How to obtain useful terrain information and feature information, and to study the application of point clouds in the construction of smart cities is a problem we need to solve. According to these problems, we propose a method for building extraction and 3D reconstruction using LiDAR point clouds. First, we process the airborne laser point cloud and then fit the roof plane by clustering the roof plane point cloud, and finally determine the outer boundary of the roof and the boundary of each plane, and use the boundary to obtain the three-dimensional coordinates of each corner of the roof to reconstruct three-dimensional model of the building. In addition, it explores the design methods and operations of different building 3D models and compares the effects of the two modeling methods.