Single tree segmentation method based on crown three-dimensional point cloud distribution

A 3D point cloud and tree crown technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of relying on prior knowledge, heavy computing load, and difficulty in algorithm development, so as to overcome the heavy computing load and avoid Error, good segmentation effect

Active Publication Date: 2019-09-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Compared with the algorithm based on CHM, this type of algorithm avoids the error caused by the process of generating CHM from point cloud difference, but this type of method has a large computational load caused by a large number of point clouds, and the corresponding algorithm development is difficult And more dependent on prior knowledge to more accurate segmentation and other issues

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  • Single tree segmentation method based on crown three-dimensional point cloud distribution
  • Single tree segmentation method based on crown three-dimensional point cloud distribution
  • Single tree segmentation method based on crown three-dimensional point cloud distribution

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Embodiment Construction

[0040] The present invention will be described in further detail below in conjunction with the accompanying drawings through the embodiment of a sample square: the development environment is PyCharm, and the programming language is Python.

[0041] Step 1. Take the Shangkuli Farm (120°36' to 120°52'E, 50°21' to 52°24'N) between Hulunbuir and Erguna, Inner Mongolia, China as the research area, and select field measurements The six sample quadrats are used as the single tree segmentation verification area, and the airborne lidar data of this area is obtained by scanning with Leica LAS60. The flight time is September 2012. The specific system parameters are shown in Table 1. The following steps are the detailed steps for the single tree division of the sample plot numbered YF_4.

[0042] Table 1 Airborne lidar system parameters

[0043]

[0044]

[0045] Step 2, according to step 1 of the technical solution, after obtaining the original airborne laser point cloud, perform ...

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Abstract

The invention belongs to the technical field of airborne laser radar point cloud data processing, and particularly relates to a single tree segmentation method based on crown three-dimensional point cloud distribution. According to the invention, the method includes obtaining the three-dimensional laser point cloud data of the forest vegetation canopy by using the airborne laser radar; and analyzing the point cloud distribution characteristics of the tree crown according to the shape change trend of the tree crown, and establishing a single tree segmentation method for segmenting a single treefrom a forest based on the original laser point cloud through denoising and filtering, point cloud normalization, tree crown contour point extraction, a trend discrimination method and wrong segmentation tree deletion according to the relationship between points. According to the invention, dependence of single-tree segmentation on prior data is eliminated, a problem of large operation reload caused by the large number of point clouds is solved, compared with a CHM-based single-tree segmentation method, errors caused by CHM generation through point cloud difference values and missing segmentation caused by only utilizing the maximum value of the elevation in each grid during segmentation processing are avoided, and the segmentation effect is quite good..

Description

technical field [0001] The invention belongs to the technical field of airborne laser radar point cloud data processing, and in particular relates to a single tree segmentation method based on the three-dimensional point cloud distribution of tree crowns. Background technique [0002] LiDAR (Light Detection And Ranging, LiDAR) is an active remote sensing technology that has developed rapidly in recent years. It mainly measures the distance between the sensor and the target object when the laser light emitted by the sensor travels, and analyzes the reflected energy and reflectance of the target surface. Information such as the amplitude, frequency and phase of the spectrum presents the precise three-dimensional structure information of the target. It can directly, quickly and accurately obtain the three-dimensional space coordinates of the research object, which has unique advantages. [0003] Forest is the largest terrestrial ecosystem on the earth. Forest structural parame...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/143G06K9/62G06T5/00
CPCG06T7/143G06T5/002G06T2207/20152G06T2207/30188G06F18/23
Inventor 李世华刘竽含
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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