基于YOLO框架的轻量化SAR图像舰船检测方法研究OA
Research on Lightweight SAR Image Ship Detection Method Based on YOLO Framework
针对现有的目标检测算法对合成孔径雷达(Synthetic Aperture Radar,SAR)图像中的舰船目标检测精度低、速度慢的问题,提出了一种基于YOLO框架的轻量化SAR图像舰船检测算法.基于YOLO框架,用Ghost模块和高效通道注意力(Efficient Channel Attention,ECA)机制来改进ShuffleNetV2网络构建新的骨干网络,以降低内存访问成本,提高特征提取能力;将颈部网络中的C3模块引入多尺度金字塔切分注…查看全部>>
To solve the problems of low accuracy and slow speed of ship detection in Synthetic Aperture Radar(SAR)images by existing target detection algorithms,a lightweight SAR ship detection algorithm based on YOLO framework is proposed.Firstly,based on the YOLO framework,the Ghost module and Efficient Channel Attention(ECA)mechanism are used to improve the ShuffleNetV2 network to construct a new backbone network,which reduces memory access costs and improves featur…查看全部>>
唐志勇;魏雪云;江蒋伟;陈思远
江苏科技大学海洋学院,江苏镇江 212003江苏科技大学海洋学院,江苏镇江 212003江苏科技大学海洋学院,江苏镇江 212003江苏科技大学海洋学院,江苏镇江 212003
电子信息工程
合成孔径雷达舰船检测轻量化网络YOLO特征增强
SARship detectionlightweight networkYOLOfeature enhancement
《无线电工程》 2024 (10)
2347-2354,8
国家自然科学基金(61901195)National Natural Science Foundation of China(61901195)
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