Identification of transmission tower in airport clearance safety protection area based on image POI segmentation algorithm

Due to the irregular distribution of transmission towers, it is difficult to guarantee the recognition effect of transmission towers in the airport clearance safety protection zone. Therefore, this paper proposes a research on the identification method of transmission towers in the airport clearance safety protection zone based on the image POI segmentation algorithm. The process of selecting the initial clustering center of the airport clearance safety protection zone image POI is optimized by using the edge guidance strategy. The powerful anti noise performance of the Laplacian Gaussian (LoG) edge detection operator is applied to extract the partition boundary from the original airport clearance safety protection zone image. By analyzing and calculating the relationship between the boundary of the airport clearance safety protection zone and the corresponding POI position of the transmission tower in the image, the transmission tower in the protection zone can be identified. In the test results, the identification accuracy of transmission towers in the constant sample and the variable sample is more than 90.0% and 95.0% respectively.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1117/12.3056250
Primary Topic
Power Line Inspection Robots
Type
article
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Identification of transmission tower in airport clearance safety protection area based on image POI segmentation algorithm

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Power Line Inspection Robots
article

Identification of transmission tower in airport clearance safety protection area based on image POI segmentation algorithm

Chaoqun Wu, Xiaobin Wang, Qiang Li, Wei Liu, Liang Zhai, Xiang Yin
article en

Abstract

Due to the irregular distribution of transmission towers, it is difficult to guarantee the recognition effect of transmission towers in the airport clearance safety protection zone. Therefore, this paper proposes a research on the identification method of transmission towers in the airport clearance safety protection zone based on the image POI segmentation algorithm. The process of selecting the initial clustering center of the airport clearance safety protection zone image POI is optimized by using the edge guidance strategy. The powerful anti noise performance of the Laplacian Gaussian (LoG) edge detection operator is applied to extract the partition boundary from the original airport clearance safety protection zone image. By analyzing and calculating the relationship between the boundary of the airport clearance safety protection zone and the corresponding POI position of the transmission tower in the image, the transmission tower in the protection zone can be identified. In the test results, the identification accuracy of transmission towers in the constant sample and the variable sample is more than 90.0% and 95.0% respectively.

Inner Mongolia Electric Power (China) (CN)
Sustainable cities and communities
Openalex Percentile: Top 90%
Power Line Inspection Robots
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