Point cloud data based single tree three-dimensional modeling and morphological parameter extracting method

Abstract

The invention relates to a point cloud data based single tree three-dimensional modeling and morphological parameter extracting method. The point cloud data based single tree three-dimensional modeling and morphological parameter extracting method comprises obtaining three-dimensional surface point cloud data of high density standing trees through a three-dimensional scanner or other live-action measuring modes, calculating the shortest distance from points to root nodes through a k-nearest neighbor graph, performing hierarchical clustering on the data according to distance, enabling centers of clustering hierarchies to be served as framework points of a limb system and meanwhile extracting corresponding semi-diameter of the framework points; connecting the framework points to establish a topological structure of branches and grading the branches; performing three-dimensional geometrical reconstruction on branches through a generalized cylinder body; adding leaf models to the limb system to form into a vivid three-dimensional single tree model; extracting height of trees, diameter of breast height and crown breadth of the standing trees in the point cloud. The point cloud data based single tree three-dimensional modeling and morphological parameter extracting method can rapidly and semi-automatically extract tree important geometrical parameters and topological information to form into the high vivid single tree geometric model and has wide application prospects and values in fields such as agriculture and forestry survey, ecological research and landscape planning.

Description

technical field [0001] The present invention belongs to the field of agricultural informatization, and involves the use of three-dimensional scanners, photogrammetry, and computer vision technology to obtain three-dimensional surface structure data (point clouds) of trees, and to process, analyze and reconstruct the three-dimensional morphological structure of trees according to the point cloud data. method, especially a method of single tree 3D modeling and morphological parameter extraction based on point cloud data. Background technique [0002] Accurate and reliable plant morphological structure data is the basis for realizing plant 3D geometry reconstruction and growth process simulation. Only by obtaining the accurate geometric structure, can the individual plants be generated in the virtual environment, which not only conform to the actual geometric size and morphological characteristics, but also have a certain sense of reality. As an important part of the plant kin...

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Problems solved by technology

However, the shortcomings of this reconstruction method mainly lie in the need to divide the point cloud into different organs according to different colors, and then reconstruct each organ separately.

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