Object detection of transmission line visual images based on deep convolutional neural network

	Object detection of transmission line visual images based on deep convolutional neural network
	Zhou Zhubo 1; Gao Jiao 2; Zhang Wei 3; Wang Xiaojing 1; Zhang Jiang 1
	2018
发表期刊	CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS
ISSN	1007-2780
卷号	33 期号:4 页码:317
摘要	A deep convolutional neural network based method is adopted to detect objects such as tower, glass insulator and composite insulator in visible images of transmission lines. About 600 visible images of 19 different transmission lines are captured by manned helicopter with high-definition camera. All of the images are then annotated manually and segmented into blocks with 4 different labels: background, tower, glass insulator and composite insulator. These blocks are then augmented to around 150 000 training samples which comprise the transmission line image dataset. A five-layer deep convolutional neural network is designed and pre-trained by using Cifar-100 dataset, the trained network is then fine-tuned by using transmission line image dataset. The experimental results show that when detection true positive rate is 90 %, the false alarm rate is less than 10 %, which is obviously superior to the traditional methods. It can be used for the detection of tower, glass insulator and composite insulator in visible images of transmission lines. The detection result can be used as reference for diagnosis or state analysis of transmission lines. This method can be used to detect tower and insulator in visible images of transmission lines, and can be extended to detect other typical objects.
关键词	transmission line image insulator object detection deep learning convolutional neural networks
语种	英语
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/34400
专题	中国科学院计算技术研究所期刊论文_中文
作者单位	1.中国科学院计算技术研究所 2.Jinan Tony Robot Co Ltd, Jinan 250101, Shandong, Peoples R China 3.中国科学院广州地球化学研究所
第一作者单位	中国科学院计算技术研究所
推荐引用方式 GB/T 7714	Zhou Zhubo,Gao Jiao,Zhang Wei,et al. 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.
APA	Zhou Zhubo,Gao Jiao,Zhang Wei,Wang Xiaojing,&Zhang Jiang.(2018).Object detection of transmission line visual images based on deep convolutional neural network.CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS,33(4),317.
MLA	Zhou Zhubo,et al."Object detection of transmission line visual images based on deep convolutional neural network".CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS 33.4(2018):317.