Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks

doi:10.1109/TSMC.2018.2871750

CASIA OpenIR > 中科院工业视觉智能装备工程实验室 > 精密感知与控制

	Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks
	Tao Xian; Zhang Dapeng; Wang Zihao; Liu Xilong; Zhang Hongyan; Xu De
发表期刊	IEEE Transactions on Systems Man Cybernetics-Systems
ISSN	2168-2216
	2018
卷号	50 期号:0 页码:0
摘要
关键词	Defect Detection Insulators Aerial Image Convolutional Neural Network
DOI	10.1109/TSMC.2018.2871750
关键词[WOS]	FAULT-DETECTION ; CLASSIFICATION
收录类别	SCI
语种	英语
资助项目	Science Challenge Project[TZ2018006-0204-02] ; National Natural Science Foundation of China[61703399] ; National Natural Science Foundation of China[61503376] ; National Natural Science Foundation of China[61421004] ; National Natural Science Foundation of China[61673383]
项目资助者	Science Challenge Project ; National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000522225200025
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：282[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21710
专题	中科院工业视觉智能装备工程实验室_精密感知与控制
通讯作者	Tao Xian
作者单位	Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Tao Xian,Zhang Dapeng,Wang Zihao,et al. Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks[J]. IEEE Transactions on Systems Man Cybernetics-Systems,2018,50(0):0.
APA	Tao Xian,Zhang Dapeng,Wang Zihao,Liu Xilong,Zhang Hongyan,&Xu De.(2018).Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks.IEEE Transactions on Systems Man Cybernetics-Systems,50(0),0.
MLA	Tao Xian,et al."Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks".IEEE Transactions on Systems Man Cybernetics-Systems 50.0(2018):0.

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