Single-plant tree point cloud automatic extraction method based on vehicle-mounted laser scanning data

Abstract

The invention provides a single-plant tree point cloud automatic extraction method based on vehicle-mounted laser scanning data, and the method mainly comprises two big steps: obtaining point clusters, called as a candidate tree clusters, from the vehicle-mounted laser scanning data based on the rough classification of cluster features, wherein the point clusters may comprise trees; extracting a single-plant tree point cloud from each candidate tree cluster based on two-stage voxel regional growth. The method combines the overall and local geometrical characteristics of trees, can automatically recognize the seeds of single-plant trees in a complex environment, respectively sets different growth rules for the growing of tree trunks and crowns, and achieves the extraction of the single-plant trees. Meanwhile, compared with other single-plant tree extraction algorithm, the method achieves greater improvement on the extraction integrity and accuracy of trees, the extraction precision of a single-plant tree point cloud and the extraction in the complex environment, and can be used for further information extraction of trees.

Description

technical field [0001] The invention belongs to the technical field of vehicle-mounted laser radar, in particular to a method for automatically extracting point clouds of individual trees from vehicle-mounted laser scanning data. Background technique [0002] Trees are an important part of the urban ecosystem, and together with other landforms, they constitute the urban landscape. The attribute information of trees, including the spatial position and morphological parameters of trees (tree height, trunk diameter, crown diameter, crown area, etc.), can not only reflect the growth and health status of trees, but also facilitate the scientific and effective management of urban gardening departments; It is helpful for the navigation and positioning of vehicles and pedestrians, and is also part of the street and urban property inventory. It can provide a data basis for building 3D tree models, as well as further noise modeling, urban green volume estimation, street and road plann...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problems of low tree extraction accuracy and single tree point cloud accuracy in complex scenes in the prior art, and provide an automatic method that can improve the single tree extraction accuracy in vehicle-mounted laser scanning point cloud data, Provide a high-precision data basis for tree attribute information acquisition

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