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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