摘要
通过分析现代海战对光电设备协同探测的迫切需求,强调舰艇编队作战中体系探测效能提升的重要性。综述国内外研究现状,指出了我国目前存在的问题与差距。以典型光电系统为例,重点分析了光电协同探测中必须解决的协同跟踪、协同识别、协同被动测距等关键技术问题,有针对性地提出了相应的技术解决途径:基于深度学习的"分层有序"光电目标识别技术、基于模式相似性测度分析与灰色预测的跟踪技术,以及基于多帧滤波的变模型红外被动综合测距技术。
By analyzing urgent demands of electro-optical cooperative detection in modern naval battle,the necessity of improving effectiveness of systematic detection in ship formation.By overview the domestic and foreign research status,the gaps are pointed out in comparison.As a case of synthetical EO/IR surveillance and response equipment,the key techniques in electro-optical cooperative detection,such as cooperative tracking,recognition and passive ranging,are selective analysis subsequently.The corresponding approaches of solution are proposed:deep learning based divided OE recognition technique by layer time series,tracking theory base on pattern similarity measurement analysis and grey prediction,infrared synthetical passive ranging theory based on multiple frame filtering.
作者
潘明波
李帝水
PAN Ming-bo;LI Di-shui(Huazhong Institute of Electro-Optics-Wuhan National Laboratory for Optoelectronics,Wuhan 430223,China;The No.92682 Troop of PLA,Zhanjiang 524000,China)
出处
《光学与光电技术》
2020年第2期69-77,共9页
Optics & Optoelectronic Technology
关键词
光电设备
协同探测
跟踪
识别
被动测距
EO equipment
cooperative detection
tracking
recognition
passive ranging