Detection of High Voltage Transmission Lines: A Survey and Perspective

With the development of the national economy, the demand for electricity in various industries is expanding. It is necessary to ensure the safe operation of the high voltage transmission line. How to prevent and detect natural disasters and accidents that endanger transmission lines in a timely manner has become an important basic work to ensure power supply. Identifying high-voltage transmission lines first requires mathematical modeling of high-voltage transmission lines. Based on the mathematical model constructed, the image processing method is used to remove the blurred images in the images and restore the true background of the images. The establishment of mathematical models for high-voltage transmission lines has been relatively complete. This paper focuses on the analysis of existing methods for automatic identification and localization of foreign bodies on transmission lines and the existing research on deblurring, de-fogging, image denoising, image enhancement, etc. method. With the rapid development of deep learning, there are more and more methods for identifying high-voltage transmission lines and image restoration. More people will be engaged in this research in the future.

• Publication year

  2020

• Venue

  EAI International Conference on Multimedia Technology and Enhanced Learning

• Publication date

  2020-04-10

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/978-3-030-51103-6_28PMCID 7991412
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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