Research Article
Detection of High Voltage Transmission Lines: A Survey and Perspective
@INPROCEEDINGS{10.1007/978-3-030-51103-6_28, author={Xiaoyuan Wang and Cheng Jin and Weijie Huang}, title={Detection of High Voltage Transmission Lines: A Survey and Perspective}, proceedings={Multimedia Technology and Enhanced Learning. Second EAI International Conference, ICMTEL 2020, Leicester, UK, April 10-11, 2020, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2020}, month={7}, keywords={Transmission line Image restoration Deep learning}, doi={10.1007/978-3-030-51103-6_28} }- Xiaoyuan Wang
Cheng Jin
Weijie Huang
Year: 2020
Detection of High Voltage Transmission Lines: A Survey and Perspective
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-51103-6_28
Abstract
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.
