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Power Transmission Tower Detection Based on Polar Coordinate Semivariogram in High-Resolution SAR Image | IEEE Journals & Magazine | IEEE Xplore

Power Transmission Tower Detection Based on Polar Coordinate Semivariogram in High-Resolution SAR Image


Abstract:

The detection of a power transmission tower in a synthetic aperture radar (SAR) image has been widely studied. However, few works consider the geometric features of the p...Show More

Abstract:

The detection of a power transmission tower in a synthetic aperture radar (SAR) image has been widely studied. However, few works consider the geometric features of the power transmission tower. In a high-resolution SAR image, the geometric features of the power transmission tower are more obvious and can be used to further reduce the false-alarm probability. In this letter, a new power transmission tower detection method is proposed, which takes into account the geometric features of the target and obtains lower false-alarm probability than the traditional methods. First, the polar coordinate semivariogram is proposed, which has the advantages of low computational complexity and high sensitivity to the shape of the targets. Then, a three-layer neural network is employed to detect the power transmission tower, taking the geometric features as the input vector. Finally, the validity of the proposed method is illuminated by the experimental measurement results of the airborne data with 0.5-m resolution.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 14, Issue: 12, December 2017)
Page(s): 2200 - 2204
Date of Publication: 10 November 2017

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I. Introduction

A synthetic aperture radar (SAR) can work in all weather and all time, and it has become an important observation tool in the field of remote sensing. With the development of the SAR technique, the resolution of an SAR image has been greatly improved. It is of great significance to monitor the running state of a high-voltage power grid using the high-resolution SAR images. The detection of power transmission towers is a key step for power grid monitoring.

Cites in Papers - |

Cites in Papers - IEEE (8)

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1.
Wanli Yang, Weigang Liu, Xuheng Ma, Yongming Zhu, Kai Feng, Tao Han, Kaiji Qiang, Zhangtian Li, "An Optical Micro-Displacement Monitoring Sensor for Transmission Power Towers", 2024 5th International Conference on Smart Grid and Energy Engineering (SGEE), pp.451-454, 2024.
2.
Bin Jin, Fan Bai, Mingjie Liu, Jingqiang Wang, Jiajie Liu, "Foreign Object Detection of Transmission Towers Based on Attention Mechanism", 2024 4th International Conference on Neural Networks, Information and Communication (NNICE), pp.1570-1574, 2024.
3.
Tianyang Li, Chao Wang, Sha Zhu, Lichuan Zou, Fan Wu, Lu Xu, Hong Zhang, "Power Transmission Tower Detection Based on High-Resolution SAR Images and Deep Learning", 2023 SAR in Big Data Era (BIGSARDATA), pp.1-4, 2023.
4.
Shuzhu Shi, Shiwei Wang, Tao Li, Yan Liu, Hengqing Sun, "Numerical Simulation of the Radar Cross Section of UHV/EHV Power Lines Illuminated by X-, C-, L-, and P-Band Spaceborne SAR", IEEE Transactions on Geoscience and Remote Sensing, vol.61, pp.1-14, 2023.
5.
Zegang Ding, Pengnan Zheng, Tianyi Zhang, Han Li, Zhe Li, Teng Long, Tao Zeng, "Spaceborne Multichannel SAR Imaging Algorithm for Maritime Moving Targets", IEEE Transactions on Geoscience and Remote Sensing, vol.61, pp.1-15, 2023.
6.
Bohao Huang, Jichen Yang, Artem Streltsov, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof, "GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.15, pp.4956-4970, 2022.
7.
Rui Zhang, Jie Chen, Wei Yang, Jianjun Huang, "A Spaceborne SAR Radiometric Calibration Scheme Using Power Transmission Towers", 2021 CIE International Conference on Radar (Radar), pp.425-429, 2021.
8.
Xin Zhou, Xiuguo Liu, Qihao Chen, Zhengjia Zhang, "Power Transmission Tower CFAR Detection Algorithm Based on Integrated Superpixel Window and Adaptive Statistical Model", IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp.2326-2329, 2019.

Cites in Papers - Other Publishers (3)

1.
Baolong Wu, Haonan Wang, Jianlai Chen, "Feature Enhancement Using Multi-Baseline SAR Interferometry-Correlated Synthesis Images for Power Transmission Tower Detection in Mountain Layover Area", Remote Sensing, vol.15, no.15, pp.3823, 2023.
2.
Jianan Li, Yu Li, Haonan Jiang, Quanhua Zhao, "Hierarchical Transmission Tower Detection from High-Resolution SAR Image", Remote Sensing, vol.14, no.3, pp.625, 2022.
3.
Liuhuo Wang, Chengfeng Liu, Xiaowei Zhu, Zhixian Xu, Wenwei Zhu, Long Zhao, "Active Vibration-Based Condition Monitoring of a Transmission Line", Actuators, vol.10, no.12, pp.309, 2021.

References

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