| 基于Jetson TX2的SAR船只目标检测实现 |
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| 引用本文： | 周玉金,谢宜壮,乔婷婷,冯杏. 基于Jetson TX2的SAR船只目标检测实现[J]. 信号处理, 2022, 38(2): 426-431. DOI: 10.16798/j.issn.1003-0530.2022.02.023 |
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| 作者姓名： | 周玉金 谢宜壮 乔婷婷 冯杏 |
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| 作者单位： | 1.北京理工大学信息与电子学院雷达技术研究所;嵌入式实时信息处理技术北京市重点实验室, 北京 100081 |
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| 基金项目： | 国家自然科学基金重大研究计划集成项目91738302国家重大科研仪器研制项目31727901 |
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| 摘 要： | 深度学习技术在SAR (Synthetic Aperture Radar)船只目标检测领域应用越来越广泛.然而,移动平台(机载/星载)有限的资源限制了基于深度学习的SAR船只目标检测技术应用.为了促进深度学习技术在移动平台的应用,本文开展了基于改进YOLOv2的SAR目标检测算法Jetson TX2嵌入式平台实现研究....
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| 关 键 词： | Jetson TX2 SAR图像 船只检测 |
| 收稿时间： | 2021-03-11 |
Implementation of SAR Ship Target Detection Based on Jetson TX2 |
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| Affiliation: | 1.Radar Research Lab，School of Information and Electronics，Beijing Institute of Technology；Beijing Key Laboratory of Embedded Real‐time Information Processing Technology，Beijing 100081，China2.School of Electrical and Electronic Engineering，North China Electric Power University，Beijing 102206，China |
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| Abstract: | Deep learning technology is more and more widely used in the field of SAR （Synthetic Aperture Radar） ship target detection. However， the limited resources of mobile platforms （airborne/spaceborne） limit the application of SAR ship target detection technology based on deep learning. In order to promote the application of deep learning technology on mobile platforms， this paper carried out research on the implementation of Jetson TX2 embedded platform based on the improved YOLOv2 SAR target detection algorithm. A real-time SAR ship target detection system based on two Jetson TX2 embedded platforms is designed. The two Jetson TX2 embedded platforms work together to effectively improve the processing capacity of the system. At the same time， the Ethernet data transmission method is adopted to ensure that the host computer and the High-speed data interaction of Jetson TX2 embedded platform. |
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