Point cloud data disordered splicing method and system based on ground laser scanning equipment

The invention provides a point cloud data disordered splicing method and system based on ground laser scanning equipment, and relates to the technical field of point cloud data processing. Disordered point cloud data of multiple sites are collected through a ground station scanner, and feature points of the point cloud data are obtained through multi-scale adaptive feature extraction; the method comprises the following steps: carrying out grouping iteration splicing on all sites by utilizing various descriptors, forming a weighted undirected graph according to the credibility of each successfully spliced edge and the sites after iteration, carrying out global transformation matrix calculation on the undirected graph by using a maximum spanning tree algorithm, obtaining a global normalized coordinate system, outputting a global transformation matrix of each site, and carrying out global transformation matrix calculation on the global normalized coordinate system. Therefore, disordered automatic splicing of the