Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network

doi:10.1155/2019/4245329

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进机器人控制团队

	Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network
	Gao, Zishu 1,2; Yang, Guodong 2; Li, En 2; Shen, Tianyu 1,2; Wang, Zhe 1,2; Tian, Yunong 1,2; Wang, Hao 1,2; Liang, Zize 2
刊名	JOURNAL OF SENSORS
	2019-11-12
卷号	2019 页码:8
ISSN号	1687-725X
DOI	10.1155/2019/4245329
通讯作者	Yang, Guodong(guodong.yang@ia.ac.cn)
英文摘要	There are a large number of insulators on the transmission line, and insulator damage will have a major impact on power supply security. Image-based segmentation of the insulators in the power transmission lines is a premise and also a critical task for power line inspection. In this paper, a modified conditional generative adversarial network for insulator pixel-level segmentation is proposed. The generator is reconstructed by encoder-decoder layers with asymmetric convolution kernel which can simplify the network complexity and extract more kinds of feature information. The discriminator is composed of a fully convolutional network based on patchGAN and learns the loss to train the generator. It is verified in experiments that the proposed method has better performances on mIoU and computational efficiency than Pix2pix, SegNet, and other state-of-the-art networks.
资助项目	National Key Research and Development Plan[2017YFC0806501] ; National Natural Science Foundation[U1713224]
WOS研究方向	Engineering ; Instruments & Instrumentation
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000499157500003
资助机构	National Key Research and Development Plan ; National Natural Science Foundation
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/29335]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者	Yang, Guodong
作者单位	1.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Gao, Zishu,Yang, Guodong,Li, En,et al. Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network[J]. JOURNAL OF SENSORS,2019,2019:8.
APA	Gao, Zishu.,Yang, Guodong.,Li, En.,Shen, Tianyu.,Wang, Zhe.,...&Liang, Zize.(2019).Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network.JOURNAL OF SENSORS,2019,8.
MLA	Gao, Zishu,et al."Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network".JOURNAL OF SENSORS 2019(2019):8.