Fontgalland, G.,
Pedro, H.J.G.,
Normality and Correlation Coefficient in Estimation of Insulators'
Spectral Signature,
SPLetters(22), No. 8, August 2015, pp. 1175-1179.
IEEE DOI
1502
glass
BibRef
Tomaszewski, M.[Michal],
Michalski, P.[Pawel],
Ruszczak, B.[Bogdan],
Zator, S.[Slawomir],
Detection of power line insulators on digital images with the use of
laser spots,
IET-IPR(13), No. 12, October 2019, pp. 2358-2366.
DOI Link
1911
BibRef
Tao, X.[Xian],
Zhang, D.P.[Da-Peng],
Wang, Z.H.[Zi-Hao],
Liu, X.L.[Xi-Long],
Zhang, H.Y.[Hong-Yan],
Xu, D.[De],
Detection of Power Line Insulator Defects Using Aerial Images
Analyzed With Convolutional Neural Networks,
SMCS(50), No. 4, April 2020, pp. 1486-1498.
IEEE DOI
2004
Insulators, Inspection, Feature extraction, Object detection, Shape,
Support vector machines, Convolutional neural networks,
insulators
BibRef
Ma, Y.P.[Yun-Peng],
Li, Q.W.[Qing-Wu],
Chu, L.[Lulu],
Zhou, Y.Q.[Ya-Qin],
Xu, C.[Chang],
Real-Time Detection and Spatial Localization of Insulators for UAV
Inspection Based on Binocular Stereo Vision,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Chen, W.X.[Wen-Xiang],
Li, Y.N.[Ying-Na],
Zhao, Z.G.[Zhen-Gang],
InsulatorGAN: A Transmission Line Insulator Detection Model Using
Multi-Granularity Conditional Generative Adversarial Nets for UAV
Inspection,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Zhong, J.P.[Jun-Ping],
Liu, Z.G.[Zhi-Gang],
Yang, C.[Cheng],
Wang, H.R.[Hong-Rui],
Gao, S.B.[Shi-Bin],
Núñez, A.[Alfredo],
Adversarial Reconstruction Based on Tighter Oriented Localization for
Catenary Insulator Defect Detection in High-Speed Railways,
ITS(23), No. 2, February 2022, pp. 1109-1120.
IEEE DOI
2202
Insulators, Rail transportation, Feature extraction, Inspection,
Image reconstruction, Machine learning, Lighting,
high-speed railways
BibRef
Wang, J.[Jinyu],
Li, Y.[Yingna],
Chen, W.X.[Wen-Xiang],
Detection of Glass Insulators Using Deep Neural Networks Based on
Optical Imaging,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Ma, B.[Bin],
Fu, Y.K.[Yong-Kang],
Wang, C.P.[Chun-Peng],
Li, J.[Jian],
Wang, Y.[Yuli],
A high-performance insulators location scheme based on YOLOv4 deep
learning network with GDIoU loss function,
IET-IPR(16), No. 4, 2022, pp. 1124-1134.
DOI Link
2203
BibRef
Tang, M.[Minan],
Liang, K.[Kai],
Qiu, J.[Jiandong],
Small insulator target detection based on multi-feature fusion,
IET-IPR(17), No. 5, 2023, pp. 1520-1533.
DOI Link
2304
feature extraction, flaw detection, insulators, support vector machines
BibRef
Li, Y.[Yong],
Wei, S.D.[Shi-Di],
Liu, X.[Xuan],
Luo, Y.Z.[Yin-Zheng],
Li, Y.F.[Ya-Feng],
Shuang, F.[Feng],
An Improved Insulator and Spacer Detection Algorithm Based on Dual
Network and SSD,
IEICE(E106-D), No. 5, May 2023, pp. 662-672.
WWW Link.
2305
BibRef
Tang, J.[Jie],
Tan, J.X.[Jun-Xiang],
Du, Y.Y.[Yong-Yong],
Zhao, H.J.[Hao-Jie],
Li, S.[Shaoda],
Yang, R.[Ronghao],
Zhang, T.[Tao],
Li, Q.[Qitao],
Quantifying Multi-Scale Performance of Geometric Features for
Efficient Extraction of Insulators from Point Clouds,
RS(15), No. 13, 2023, pp. 3339.
DOI Link
2307
BibRef
Yu, Z.L.[Zhi-Long],
Lei, Y.Q.[Yan-Qiao],
Shen, F.[Feng],
Zhou, S.[Shuai],
Yuan, Y.[Yue],
Research on Identification and Detection of Transmission Line
Insulator Defects Based on a Lightweight YOLOv5 Network,
RS(15), No. 18, 2023, pp. 4552.
DOI Link
2310
BibRef
Fang, Y.X.[Yi-Xin],
Zhang, X.Q.[Xiang-Quan],
Cao, H.[Hui],
Nie, J.L.[Jiang-Long],
Chen, Z.[Zhao],
He, Z.Q.[Zhou-Qiang],
Insulator Image Dataset Generation based on Generative Adversarial
Network,
CVIDL23(103-108)
IEEE DOI
2403
Training, Image quality, Deep learning, Analytical models,
Image synthesis, Computational modeling, self-attention
BibRef
Zhang, S.L.[Shi-Ling],
Study on Dielectric Property Test and Image Computer Recognition of
UHVDC Bushing,
ICIVC22(615-621)
IEEE DOI
2301
Temperature measurement, Temperature distribution, Epoxy resins,
Aging, Dielectric loss measurement, Insulators, Thermal aging
BibRef
Han, G.[Ge],
Gong, W.[Wei],
Cui, X.H.[Xiao-Hui],
Zhang, M.[Miao],
Chen, J.[Jun],
Estimation Of Insulator Contaminations By Means Of Remote Sensing
Technique,
ISPRS16(B8: 73-77).
DOI Link
1610
To prevent power failures.
BibRef
Gu, I.Y.H.[Irene Y.H.],
Sistiaga, U.[Unai],
Berlijn, S.M.[Sonja M.],
Fahlström, A.[Anders],
Intelligent Video Surveillance for Detecting Snow and Ice Coverage on
Electrical Insulators of Power Transmission Lines,
CAIP09(1179-1187).
Springer DOI
0909
BibRef
Gu, I.Y.H.[Irene Y.H.],
Sistiaga, U.[Unai],
Berlijn, S.M.[Sonja M.],
Fahlstrom, A.[Anders],
Online detection of snow coverage and swing angles of electrical
insulators on power transmission lines using videos,
ICIP09(3249-3252).
IEEE DOI
0911
BibRef
Zhang, J.[Jian],
Yang, R.[Ruqing],
Insulators Recognition for 220kv/330kv High-voltage Live-line Cleaning
Robot,
ICPR06(IV: 630-633).
IEEE DOI
0609
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Tunnels, Tunnel Descriptions, Tunnel Analysis .