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Single border tree segmentation method based on MLS point cloud data

A point cloud data, street tree technology, applied in image data processing, image analysis, instruments, etc., to achieve the effect of improving segmentation accuracy

Pending Publication Date: 2022-08-05
NANJING FORESTRY UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

This type of method has a high identification accuracy of street trees, but the single-tree segmentation algorithm of street trees after identification, especially the segmentation algorithm of glued street trees needs to be further studied

Method used

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  • Single border tree segmentation method based on MLS point cloud data
  • Single border tree segmentation method based on MLS point cloud data
  • Single border tree segmentation method based on MLS point cloud data

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Embodiment Construction

[0042] Preferred embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited by the embodiments set forth herein.

[0043] like figure 1 As shown, a method for segmenting a street tree and a single tree based on MLS point cloud data, the method includes the following steps:

[0044] S1. The step of obtaining the street tree point cloud: obtaining the street tree point cloud data through the street MLS point cloud data scanned by the mobile laser, specifically: using the street tree detector to identify the street tree point cloud from the MLS point cloud data of the street.

[0045] Among them: the detection method of the street tree detector adopts the street tree target recognition method based on vehicle 2D LiDAR point cloud d...

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Abstract

The invention provides a border tree individual tree segmentation method based on MLS point cloud data, and the method comprises a border tree point cloud obtaining step, a border tree point cloud clustering step, an adhesive border tree detection step, and an adhesive border tree coarse segmentation and fine segmentation step, thereby completing individual tree segmentation. The method comprises the following steps: segmenting a street tree point cloud into a street tree cluster by adopting a clustering algorithm, then carrying out adhered street tree detection on the street tree cluster, and then carrying out multi-layer segmentation from coarse to fine on the street tree cluster containing a plurality of adhered street trees to obtain a street tree single tree point cloud; the method has high street tree point cloud identification capability and street tree single tree segmentation precision, and is suitable for a complex urban environment containing various ground features.

Description

technical field [0001] The invention relates to the technical field of street tree single tree segmentation, in particular to street tree single tree segmentation based on MLS point cloud data, in particular to a street tree single tree segmentation method for identifying and then segmenting street tree point cloud data. Background technique [0002] As an important part of urban ecosystem and urban landscape, street trees have important ecological and social service functions. Carrying out more in-depth research on street trees is an urgent need for urban management departments and digital city construction. Mobile laser scanning (MLS) system, as an important means of urban close-up three-dimensional spatial information collection, has the ability to quickly obtain three-dimensional information of street trees on both sides of the road. [0003] Street tree single tree segmentation refers to identifying and segmenting a single street tree from MLS point cloud data. It is t...

Claims

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Application Information

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IPC IPC(8): G06T7/12G06V10/762G06V10/774G06V20/10
CPCG06T7/12G06V20/188G06V10/762G06V10/774G06T2207/20112
Inventor 李相程李秋洁
Owner NANJING FORESTRY UNIV