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Cylinder feature-based tree trunk point cloud efficient extraction method

An extraction method and cylinder technology, which are applied in the field of efficient extraction of tree trunk point clouds based on cylinder features, can solve problems such as low accuracy, low efficiency, and under-extraction, and achieve the effect of strong robustness and high algorithm efficiency.

Active Publication Date: 2022-03-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA +1
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Problems solved by technology

[0006] In view of the above problems or deficiencies, in order to solve the existing tree trunk point cloud extraction methods have low efficiency and low precision (such as under-extraction of the upper trunk, over-extraction of the lower trunk ) problem; the present invention provides a method for efficiently extracting tree trunk point clouds based on cylindrical features, which takes the ground lidar scene point cloud as the processing object, firstly locates the trunk accurately and efficiently through the cylinder fitting and judgment method, and then uses the trunk point Fine and efficient extraction of scene tree trunk point cloud by micro-cylindrical search method

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  • Cylinder feature-based tree trunk point cloud efficient extraction method
  • Cylinder feature-based tree trunk point cloud efficient extraction method
  • Cylinder feature-based tree trunk point cloud efficient extraction method

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[0060] The present invention will be described in further detail below by using two samples as examples and in conjunction with the accompanying drawings. The development environment of this embodiment is Microsoft Visual Studio 2013, the external library PCL1.8.0, and the programming language C++.

[0061] A method for efficiently extracting tree trunk point clouds based on cylindrical features, comprising the following steps:

[0062] Step 1. Take two forest sample plots in the Qingshuihe Campus of Chengdu University of Electronic Science and Technology as the research area. The geographical coordinates of the research area are 103°55'11.56"-103°56'28.80" east longitude and 30°44'21.02" north latitude ~30°45'35.91", where the dominant tree species in plot1 is Phoebe, and the dominant tree species in plot2 is magnolia. Use Leica ScanStationC10 to acquire the ground lidar data of two sample plots respectively. The data collection time is June 2020. The scanning method is mult...

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Abstract

The invention belongs to the technical field of ground laser radar point cloud data processing, and particularly relates to a tree trunk point cloud efficient extraction method based on cylinder features. According to the tree trunk point cloud extraction method, three-dimensional laser point cloud data in forest vegetation obtained by a ground laser radar is utilized, ground point filtering, normalization layering, tree trunk positioning and tree trunk extraction processing are carried out based on cylindrical features of a tree trunk, and the tree trunk point cloud extraction method for extracting point cloud of a tree trunk below a tree crown from a ground laser radar forest point cloud is established. Compared with an existing tree trunk point cloud extraction method, the tree trunk point cloud extraction method has the advantages that the tree trunk can be accurately positioned, the tree trunk point cloud can be finely extracted, meanwhile, the algorithm efficiency is high, the robustness is high, and the method is suitable for extraction of the tree trunk point cloud in large scenes such as forests and can be applied to many fields such as forestry resource investigation, forest scene reconstruction and forest structure parameter extraction.

Description

technical field [0001] The invention belongs to the technical field of ground laser radar point cloud data processing, in particular to a method for efficiently extracting tree trunk point clouds based on cylindrical features. Background technique [0002] Lidar technology is an active remote sensing technology, which can measure the three-dimensional surface shape of an object without contact, and express it with a large number of coordinate points, that is, point cloud data. Ground LiDAR, including fixed LiDAR, vehicle-mounted LiDAR, and backpack LiDAR, can obtain high-precision, high-density under-forest point cloud data, and provide services for applications such as forest resource investigation, forest scene reconstruction, and forest structure parameter extraction. Efficient and convenient technical means. [0003] A tree can be roughly divided into two parts, including the trunk and the crown. Compared with airborne lidar, ground lidar can obtain detailed tree trunk...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/46
CPCY02T10/40
Inventor 李世华田志林冷庚曾靓
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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