Power transmission line image augmentation method and system based on improved DCGAN

• Main Authors: DENG CHUNMING, TAN WENHAI, WANG HAILIN, SHI ZHONGCHENG, QIN MINGSHENG, TANG JINPENG, TAN KUN, WANG JIANG, HUANG DONG, LAN JIANMENG, JIANG YINGJUN, YA WANGZHOU, WEI YIJIAN, WEI JIYI, WEI WEI
• Format: Patent
• Language: Chinese; English
• Published: 19.11.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention provides a power transmission line image augmentation method and system based on an improved DCGAN. The method comprises the steps of collecting original defect image sample data of a power transmission line; improving the structure of the DCGAN network model, and obtaining the DCGAN network model with the improved structure; preprocessing the original defect image sample data by using a DCGAN network model with an improved structure to obtain a training set; training the DCGAN network model with the improved structure until a generator G and a discriminator D reach Nash equilibrium; and generating the augmented data by using the generator G. According to the invention, the original data is preprocessed by using the augmentation function, so that more training data can be provided for DCGAN training, a network can learn more comprehensive data set features, and a more effective data set is generated. 本发明提供一种基于改进的DCGAN的输电线路图像增广方法及系统，其中方法包括：采集输电线路的原始缺陷图像样本数据；对DCGAN网络模型的结构进行改进，得到改进结构的DCGAN网络模型；利用改进