• HOME
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • Chinese
Site search        
文章摘要
基于无人机图像处理的输电线路提取技术研究
Research on UAV Image Extraction Technology of Transmission Line
Received:November 16, 2020  Revised:December 08, 2020
DOI:10.19753/j.issn1001-1390.2022.05.021
中文关键词: 无人机巡检  灰度化  图像滤波  Hough变换
英文关键词: UAV inspection  grayscale  image filtering  Hough transform
基金项目:宁夏自然科学基金项目:2018AAC03222
Author NameAffiliationE-mail
Sha Weiyan* State Grid Ningxia Electric Power Research Institute,Yinchuan weiyansha@163.com 
He Ninghui State Grid Ningxia Electric Power Research Institute,Yinchuan 232464433@qq.com 
Ding Pei State Grid Ningxia Electric Power Research Institute,Yinchuan 18695116363@163.com 
Hu Wei State Grid Ningxia Electric Power Research Institute huwei@nx.sgcc.com.cn 
LI Xiuguang State Grid Ningxia Electric Power Research Institute,Yinchuan 94266092@qq.com 
Zhou Xiu State Grid Ningxia Electric Power Research Institute,Yinchuan zhouxiu007@163.com 
Hits: 1389
Download times: 335
中文摘要:
      为进一步减轻输电线路进行定期检查、巡视的任务,提出了一种利用智能化无人机巡检技术实现对输电线路的提取和跟踪方法。首先,针对无人机拍摄的图像对比度低、噪声多等问题,分别提出了采用灰度化、滤波处理等方法解决图像处理过程中干扰因素过多的问题;其次,采用LSD算法实现了线路边缘的提取,在去除图像背景信号的基础上使用Hough变换数学算法实现了输电线路的准确连接;最后,利用粒子滤波和扩展卡尔曼滤波(EKF)两种图像细节的提取技术,建立了输电线在相邻帧中运动模型,并利用仿真软件对输电线路进行识别,两种方法的检测准确度分别为94.21%和93.68%,证实文章处理算法可实现输电线路的提取和跟踪。
英文摘要:
      In order to further alleviate the tasks of regular inspection and patrol of transmission lines, a method for extracting and tracking transmission lines using intelligent drone inspection technology was proposed. Firstly, in view of the problems of low contrast and high noise in the images taken by drones, methods such as grayscale and filter processing were proposed to solve the problem of excessive interference factors in the image processing process; secondly, the LSD algorithm was used to realize the edge of the line Based on the removal of the image background signal, the Hough transform mathematical algorithm was used to realize the accurate connection of the transmission line; finally, the particle filter and the extended Kalman filter (EKF) two image details extraction techniques were used to establish the transmission line in the adjacent frame In the middle of the motion model, and using simulation software to identify the transmission line, the detection accuracy of the two methods were 94.21% and 93.68%, respectively, confirming that the article processing algorithm can realize the extraction and tracking of the transmission line.
View Full Text   View/Add Comment  Download reader
Close
  • Home
  • About Journal
    • Historical evolution
    • Journal Honors
  • Editorial Board
    • Members of Committee
    • Director of the Committee
    • President and Editor in chief
  • Submission Guide
    • Instructions for Authors
    • Manuscript Processing Flow
    • Model Text
    • Procedures for Submission
  • Academic Influence
  • Open Access
  • Ethics&Policies
    • Publication Ethics Statement
    • Peer Review Process
    • Academic Misconduct Identification and Treatment
    • Advertising and Marketing
    • Correction and Retraction
    • Conflict of Interest
    • Authorship & Copyright
  • Contact Us
  • 中文页面
Address: No.2000, Chuangxin Road, Songbei District, Harbin, China    Zip code: 150028
E-mail: dcyb@vip.163.com    Telephone: 0451-86611021
© 2012 Electrical Measurement & Instrumentation
黑ICP备11006624号-1
Support:Beijing Qinyun Technology Development Co., Ltd