基于深度学习的输电线路视觉检测方法研究进展_OpenScirbe Publishing

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基于深度学习的输电线路视觉检测方法研究进展

Author(s)：
李春栋李爽

Publication Title：

Wen Yuan (Middle School Edition) 2022 No.12

Affiliations：
国网江西省电力有限公司九江供电分公司

Abstract：
电力系统快速发展，输电线路安全稳定运行至关重要。传统输电线路检测方法受限于效率准确性，深度学习技术为这一领域带来新突破。本文综述基于深度学习输电线路视觉检测方法最新研究进展，重点介绍目标检测、语义分割、异常识别等关键技术及其在输电线路检测应用。讨论当前面临挑战和未来发展趋势，为相关领域研究者和实践者提供有价值参考启示。

Keywords：
深度学习；输电线路；视觉检测；目标检测

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[1] 李春栋,李爽.基于深度学习的输电线路视觉检测方法研究进展[J].Wen Yuan (Middle School Edition),2022(12),.

文渊(中学版)

Wen Yuan (Middle School Edition)

Language: 中文

CN：11-9275/G

ISSN：2096-627X

Publication Frequency: 月刊

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