Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network
文献类型：期刊论文
| 作者 | Gao, Zishu1,2 ; Yang, Guodong1; Li, En1; Shen, Tianyu1,2; Wang, Zhe1,2; Tian, Yunong1,2; Wang, Hao1,2; Liang, Zize1
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| 刊名 | JOURNAL OF SENSORS
 |
| 出版日期 | 2019-11-12 |
| 卷号 | 2019页码:8 |
| ISSN号 | 1687-725X |
| DOI | 10.1155/2019/4245329 |
| 通讯作者 | Yang, Guodong(guodong.yang@ia.ac.cn) |
| 英文摘要 | 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. |
| 资助项目 | National Key Research and Development Plan[2017YFC0806501] ; National Natural Science Foundation[U1713224] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000499157500003 |
| 出版者 | HINDAWI LTD |
| 资助机构 | National Key Research and Development Plan ; National Natural Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/29335]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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