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A light defect detection algorithm of power insulators from aerial images for power inspection 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2022, 页码: 11
作者:  Yang, Lei;  Fan, Junfeng;  Song, Shouan;  Liu, Yanhong
收藏  |  浏览/下载：156/0  |  提交时间：2022/07/25
Insulator location  Defect identification  Transfer learning  Dempster-Shafer evidence theory  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
收藏  |  浏览/下载：124/0  |  提交时间：2021/06/07
A Review on State-of-the-Art Power Line Inspection Techniques 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 12, 页码: 9350-9365
作者:  Yang, Lei;  Fan, Junfeng;  Liu, Yanhong;  Li, En;  Peng, Jinzhu;  Liang, Zize
收藏  |  浏览/下载：200/0  |  提交时间：2021/01/06
Inspection  Poles and towers  Task analysis  Insulators  Smart grids  Feature extraction  Inspection methods  inspection platforms  inspection sensors  inspection task  power line inspection  
Real-time segmentation of various insulators using generative adversarial networks 期刊论文
IET COMPUTER VISION, 2018, 卷号: 12, 期号: 5, 页码: 596-602
作者:  Chang, Wenkai;  Yang, Guodong;  Yu, Junzhi;  Liang, Zize
Adobe PDF(4584Kb)  |  收藏  |  浏览/下载：396/66  |  提交时间：2019/12/16
image segmentation  insulators  neural nets  power engineering computing  real-time pixel-level segmentation  generative adversarial networks  insulator segmentation algorithm  cluttered background  artificial thresholds  compact end-to-end neural network  visual saliency map  proposed two-stage training  segmentation quality  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：803/326  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network