中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A UAV Detection and Tracking Algorithm Based on Image Feature Super-Resolution

文献类型:期刊论文

作者Li, Bin2; Qiu, Shi1; Jiang, Wei2; Zhang, Wei2; Le, Mingnan2
刊名Wireless Communications and Mobile Computing
出版日期2022
卷号2022
ISSN号15308669;15308677
DOI10.1155/2022/6526684
产权排序2
英文摘要

UAV is difficult to detect by visual methods at a long distance, so a UAV detection and tracking algorithm is proposed based on image super-resolution. Firstly, a saliency transformation algorithm is built to focus on the suspected area. Then, a generative adversarial network is established on the basis of ROI to realize the super-resolution of weak targets and restore the high-resolution details of target features. Finally, the cooperative attention module is built to recognize and track UAV. Our experiments show that the proposed algorithm has strong robustness. © 2022 Bin Li et al.

语种英语
WOS记录号WOS:000766932400004
出版者Hindawi Limited
源URL[http://ir.opt.ac.cn/handle/181661/95722]  
专题西安光学精密机械研究所_光学影像学习与分析中心
通讯作者Qiu, Shi
作者单位1.Key Laboratory of Spectral Imaging Technology CAS, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China
2.School of Information Science and Technology, Northwest University, Xi'an; 710127, China;
推荐引用方式
GB/T 7714
Li, Bin,Qiu, Shi,Jiang, Wei,et al. A UAV Detection and Tracking Algorithm Based on Image Feature Super-Resolution[J]. Wireless Communications and Mobile Computing,2022,2022.
APA Li, Bin,Qiu, Shi,Jiang, Wei,Zhang, Wei,&Le, Mingnan.(2022).A UAV Detection and Tracking Algorithm Based on Image Feature Super-Resolution.Wireless Communications and Mobile Computing,2022.
MLA Li, Bin,et al."A UAV Detection and Tracking Algorithm Based on Image Feature Super-Resolution".Wireless Communications and Mobile Computing 2022(2022).

入库方式: OAI收割

来源:西安光学精密机械研究所

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