Knowledge Commons of Institute of Automation，CAS
| Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network | |
Gao, Zishu1,2 ; Yang, Guodong1; Li, En1; Shen, Tianyu1,2; Wang, Zhe1,2; Tian, Yunong1,2; Wang, Hao1,2; Liang, Zize1
| |
| 发表期刊 | JOURNAL OF SENSORS
 |
| ISSN | 1687-725X |
| 2019-11-12 | |
| 卷号 | 2019页码:8 |
| 通讯作者 | Yang, Guodong(guodong.yang@ia.ac.cn) |
| 摘要 | There are a large number of insulators on the transmission line, and insulator damage will have a major impact on power supply security. Image-based segmentation of the insulators in the power transmission lines is a premise and also a critical task for power line inspection. In this paper, a modified conditional generative adversarial network for insulator pixel-level segmentation is proposed. The generator is reconstructed by encoder-decoder layers with asymmetric convolution kernel which can simplify the network complexity and extract more kinds of feature information. The discriminator is composed of a fully convolutional network based on patchGAN and learns the loss to train the generator. It is verified in experiments that the proposed method has better performances on mIoU and computational efficiency than Pix2pix, SegNet, and other state-of-the-art networks. |
| DOI | 10.1155/2019/4245329 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 资助项目 | National Key Research and Development Plan[2017YFC0806501] ; National Natural Science Foundation[U1713224] ; National Key Research and Development Plan[2017YFC0806501] ; National Natural Science Foundation[U1713224] |
| 项目资助者 | National Key Research and Development Plan ; National Natural Science Foundation |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| WOS类目 | Engineering, Electrical & Electronic ; Instruments & Instrumentation |
| WOS记录号 | WOS:000499157500003 |
| 出版者 | HINDAWI LTD |
| 七大方向——子方向分类 | 机器人感知与决策 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/29336 |
| 专题 | 复杂系统认知与决策实验室_先进机器人 |
| 通讯作者 | Yang, Guodong |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China |
| 第一作者单位 | 中国科学院自动化研究所 |
| 通讯作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Gao, Zishu,Yang, Guodong,Li, En,et al. Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network[J]. JOURNAL OF SENSORS,2019,2019:8. |
| APA | Gao, Zishu.,Yang, Guodong.,Li, En.,Shen, Tianyu.,Wang, Zhe.,...&Liang, Zize.(2019).Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network.JOURNAL OF SENSORS,2019,8. |
| MLA | Gao, Zishu,et al."Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network".JOURNAL OF SENSORS 2019(2019):8. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Insulator Segmentati（2105KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论