Point cloud data automatic classification method for power transmission line based on random forest model

A technology of random forest model and point cloud data, which is applied in computer parts, character and pattern recognition, instruments, etc.

Inactive Publication Date: 2017-10-24
云南电网有限责任公司信息中心 +1
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problems existing in the classification method of traditional power transmission line point cloud data, learn classification knowledg

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Point cloud data automatic classification method for power transmission line based on random forest model
  • Point cloud data automatic classification method for power transmission line based on random forest model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] See figure 1 , the present invention is an automatic classification method for transmission line point cloud data based on a random forest model. First, the airborne laser radar point cloud data of the transmission line corridor is obtained, and the characteristics of machine learning are defined based on the local features of each point in the point cloud data , calculate all the feature values ​​point by point, use the supervised machine learning algorithm random forest as the learner, and use the manually classified point cloud data as the training samples to build the model; after the model training is completed, apply the model to the unclassified points Automatic classification of cloud data.

[0023] The technical means that the present invention takes according to above-mentioned technical characterictic is:

[0024] 1) Feature definition of point cloud data

[0025] For any point P, define features only based on the spatial information (x, y, z) of the point,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a point cloud data automatic classification method for a power transmission line based on a random forest model. With the development and application of the technology of laser radars, an airborne laser radar is gradually introduced to the routing inspection operation of the power transmission line. The laser radar will generate a large amount of point cloud data after the scanning of a power transmission line corridor, and the classification of the point cloud data is the foundation for the subsequent analysis and processing of the point cloud data. However, a conventional manual classification method is larger in workload, and consumes a lot of time. According to the invention, the method achieves the features of machine learning based on the local features of points, and achieves the gradual calculation of all feature points, and then a learning machine is built through a random forest. The point cloud data of manual classification is taken as the training sample for the building a supervised learning model. After the model training, the model is used for the automatic classification of the point cloud data which is not classified.

Description

technical field [0001] The invention relates to a method for automatically classifying point cloud data of power transmission line corridors scanned by an airborne laser radar, and is an automatic classification method for point cloud data of power transmission lines. Background technique [0002] Laser radar technology (LiDAR) is an active ground observation and measurement technology, which is widely used in many fields such as electric power, highways, railways, forestry, mining, and urban planning. Because the airborne LiDAR can completely record the three-dimensional information of the flight route and the corridors on both sides, it has the advantages of safety, efficiency, and speed, so it is gradually introduced into the transmission line inspection, especially in complex terrain and harsh conditions. area. [0003] Airborne LiDAR will generate a large amount of scanning data (point cloud data) when performing power transmission inspection operations. The analysis a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
CPCG06F18/24323
Inventor 周兴东赵志宇马文张莉娜孙梦觉李芹张小波
Owner 云南电网有限责任公司信息中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap