液晶与显示, 2018, 33 (4): 317, 网络出版: 2018-08-28   

基于深度卷积神经网络的输电线路可见光图像目标检测

Object detection of transmission line visual images based on deep convolutional neural network
作者单位
1 天津航天中为数据系统科技有限公司(天津市智能遥感信息处理技术企业重点实验室),天津 300301
2 济南汤尼机器人科技有限公司,山东 济南 250101
3 南方电网科学研究院有限责任公司,广东 广州 510080
引用该论文

周筑博, 高佼, 张巍, 王晓婧, 张静. 基于深度卷积神经网络的输电线路可见光图像目标检测[J]. 液晶与显示, 2018, 33(4): 317.

ZHOU Zhu-bo, GAO Jiao, ZHANG Wei, WANG Xiao-jing, ZHANG Jing. Object detection of transmission line visual images based on deep convolutional neural network[J]. Chinese Journal of Liquid Crystals and Displays, 2018, 33(4): 317.

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周筑博, 高佼, 张巍, 王晓婧, 张静. 基于深度卷积神经网络的输电线路可见光图像目标检测[J]. 液晶与显示, 2018, 33(4): 317. ZHOU Zhu-bo, GAO Jiao, ZHANG Wei, WANG Xiao-jing, ZHANG Jing. Object detection of transmission line visual images based on deep convolutional neural network[J]. Chinese Journal of Liquid Crystals and Displays, 2018, 33(4): 317.

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