A Fine Segmentation Method for Building Facade Point Cloud by Integrating Drone Tilt Photography and LiDAR

This article introduces a precise segmentation method for building facade point clouds that integrates drone oblique photography and LiDAR technology. This method combines high-resolution images obtained from oblique photography with precise depth information obtained from LiDAR, and designs an improved point cloud segmentation strategy under fuzzy C-means clustering using chaotic particle swarm optimization algorithm to achieve precise segmentation of building facades. The experimental results show that this method can effectively improve the accuracy of building facade information extraction, reduce the difference rate of point cloud fine segmentation, and achieve good consistency in point cloud segmentation, providing strong support for urban planning, building maintenance and other fields.