Research Progresses and Trends of Power Line Extraction based on Machine Learning

Kuan-sheng Zou, Zhenbang Jiang, Qian Zhang
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引用次数: 1

Abstract

Power Line Extraction (PLE) is useful for low-altitude aircraft avoiding the high-voltage power line, and it also can be used in the power line autonomous inspection. PLE based on aerial images has caused many researchers to study with enthusiasm, because machine learning methods play an important role in PLE. The PLE methods based on machine learning are summarized in this paper, and then the research progresses of PLE methods based on traditional image processing, machine learning and deep learning are analyzed; then the future research trends of PLE are predicted based on the survey of novel methods proposed within the pasted two years. The PLE belongs to the interdisciplinary research direction, and it has certain reference value for researchers with research fields such as power fault diagnosis, image processing, and machine learning.
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基于机器学习的电力线提取研究进展与趋势
电力线提取(PLE)是低空飞行器避开高压电力线的有效方法,也可用于电力线的自主检测。基于航拍图像的PLE引起了许多研究者的热情研究,因为机器学习方法在PLE中起着重要的作用。综述了基于机器学习的深度学习方法,分析了基于传统图像处理、机器学习和深度学习的深度学习方法的研究进展;然后通过对近两年新方法的调查,对未来的研究趋势进行了预测。PLE属于跨学科的研究方向,对电力故障诊断、图像处理、机器学习等研究领域的研究人员具有一定的参考价值。
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