Individual-tree segmentation method and device based on point cloud data

Abstract

The application provides an individual-tree segmentation method and device based on point cloud data. The method and device can improve individual-tree segmentation precision. The method comprises: constructing a DEM (Digital Elevation Model) on the basis of point cloud data acquired by scanning of ground-based LiDAR (Light Detection And Ranging); normalizing the point cloud data on the basis of the DEM, extracting point cloud data of diameters at predetermined breast height in the normalized point cloud data, and acquiring circle center positions of the diameters at the breast height on the basis of the extracted point cloud data; and carrying out individual-tree segmentation according to the circle center positions of the diameters at the breast height and a set clustering algorithm.

Description

technical field [0001] The present application relates to the technical field of point cloud data processing, in particular, to a single tree segmentation method and device based on point cloud data. Background technique [0002] Obtaining the spatial location and morphological parameters of trees through the census of forest resources, determining the number of trees growing, and evaluating the health status of trees based on the morphological parameters of trees is an important task for evaluating ecosystems. Ground-based LiDAR (LiDAR, Light Detection And Ranging) measures the distance between the target and the sensor by using the laser emitted by the sensor, and transforms the measured distance information to obtain point cloud data of the target object, which is realized based on the point cloud data. Single log division of trees. Among them, when realizing single tree segmentation, the ground-based laser radar obtains detailed tree point cloud data through bottom-up s...

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Problems solved by technology

[0003] However, in this single tree segmentation method, since the two-dimensional Hough transform is performed on the point cloud data, the two-dimensional data obtained by the two-dimensional Hough transform is used to perform circle fitting or ellipse fitting to obtain the trunk diameter. In the two-dimensional transformation, The two-dimensional data obtained by the two-dimensional Hough transformation of understory shrubs will affect the fitted trunk diameter and number of trunks. Therefore, this method is suitable for the situation where there are few understory shrubs and the density of trees is small. , will make the single tree segmentation accuracy low, for example, the number of single trees obtained by segmentation is too much or too little, which will affect the effective management of forest resources

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