Research on the rapid reconstruction of building models based on point cloud data

Reconstruction of geometrically accurate, topologically correct, semantically rich, and LoD3 compliant building geometry models from large-scale airborne point clouds is a difficult and key point in airborne point cloud building modeling, and how to perform rapid reconstruction of 3D models based on point cloud data has become one of the hot issues for research. To solve this problem, this paper explores the rapid reconstruction method of building model by combining point cloud data and tilt photogrammetry, discusses some common problems and workflow of current airborne point cloud modeling algorithm according to the idea of building geometry modeling, and gives possible solutions and the trend of geometry modeling development and potential research direction for improving airborne point cloud building reconstruction. theory, develop more intelligent modeling algorithms, build a higher quality building model library, and solve how to quickly create 3D models based on point cloud data to provide a certain degree of reference and reference.