In this paper, we propose a SAR image ship detection model SSE-Ship that combines image context to extend the detection field of view domain and effectively enhance feature extraction information. This method aims to ...In this paper, we propose a SAR image ship detection model SSE-Ship that combines image context to extend the detection field of view domain and effectively enhance feature extraction information. This method aims to solve the problem of low detection rate in SAR images with ship combination and ship fusion scenes. Firstly, we propose STCSPB network to solve the problem of ship and non-ship object fusion by combining image contextual feature information to distinguish ship and non-ship objects. Secondly, we combine SE Attention to enhance the effective feature information and effectively improve the detection accuracy in combined ship driving scenes. Finally, we conducted extensive experiments on two standard base datasets, SAR-Ship and SSDD, to verify the effectiveness and stability of our proposed method. The experimental results show that the SSE-Ship model has P = 0.950, R = 0.946, mAP_0.5:0.95 = 0.656 and FPS = 50 on the SAR-Ship dataset and mAP_0.5 = 0.964 and R = 0.940 on the SSDD dataset.展开更多
为提高基于信息系统体系作战条件下的车辆装备维修保障能力,提出一种基于标准化系统工程(standardization system engineering,SSE)理论的维修保障标准体系。在简单介绍SSE方法论的基础上,围绕车辆装备维修保障标准体系构建的2个主要任...为提高基于信息系统体系作战条件下的车辆装备维修保障能力,提出一种基于标准化系统工程(standardization system engineering,SSE)理论的维修保障标准体系。在简单介绍SSE方法论的基础上,围绕车辆装备维修保障标准体系构建的2个主要任务,给出SSE理论的应用方法,构建车辆装备维修保障标准体系研究的三维结构,并进行验证分析。分析结果表明:标准体系结构设计的合理与否将直接关系到体系功能的发挥和存在的价值。展开更多
文摘In this paper, we propose a SAR image ship detection model SSE-Ship that combines image context to extend the detection field of view domain and effectively enhance feature extraction information. This method aims to solve the problem of low detection rate in SAR images with ship combination and ship fusion scenes. Firstly, we propose STCSPB network to solve the problem of ship and non-ship object fusion by combining image contextual feature information to distinguish ship and non-ship objects. Secondly, we combine SE Attention to enhance the effective feature information and effectively improve the detection accuracy in combined ship driving scenes. Finally, we conducted extensive experiments on two standard base datasets, SAR-Ship and SSDD, to verify the effectiveness and stability of our proposed method. The experimental results show that the SSE-Ship model has P = 0.950, R = 0.946, mAP_0.5:0.95 = 0.656 and FPS = 50 on the SAR-Ship dataset and mAP_0.5 = 0.964 and R = 0.940 on the SSDD dataset.
文摘为提高基于信息系统体系作战条件下的车辆装备维修保障能力,提出一种基于标准化系统工程(standardization system engineering,SSE)理论的维修保障标准体系。在简单介绍SSE方法论的基础上,围绕车辆装备维修保障标准体系构建的2个主要任务,给出SSE理论的应用方法,构建车辆装备维修保障标准体系研究的三维结构,并进行验证分析。分析结果表明:标准体系结构设计的合理与否将直接关系到体系功能的发挥和存在的价值。
