通信学报 ›› 2019, Vol. 40 ›› Issue (4): 1-9.doi: 10.11959/j.issn.1000-436x.2019056

• 专题:海洋信息感知、传输与融合 •    下一篇

基于空间信息网络的海洋目标监视分析与展望

何友1,姚力波1(),江政杰2   

  1. 1 海军航空大学信息融合研究所,山东 烟台 264001
    2 海军装备部信息系统局,北京 100841
  • 修回日期:2019-03-24 出版日期:2019-04-25 发布日期:2019-05-05
  • 作者简介:何友(1952- ),男,吉林磐石人,博士,中国工程院院士,海军航空大学教授,主要研究方向为信息融合理论及应用、大数据技术与应用等。|姚力波(1980- ),男,山东昌邑人,博士,海军航空大学讲师,主要研究方向为多源卫星信息融合。|江政杰(1982- ),男,江西都昌人,海军装备部信息系统局参谋,主要研究方向为海上侦察预警体系规划与设计。
  • 基金资助:
    国家自然科学基金资助项目(91538201)

Summary and future development of marine target surveillance based on spatial information network

You HE1,Libo YAO1(),Zhengjie JIANG2   

  1. 1 Research Institute of Information Fusion,Naval Aviation University,Yantai 264001,China
    2 Information System Agency,Naval Equipment Department,Beijing 100841,China
  • Revised:2019-03-24 Online:2019-04-25 Published:2019-05-05
  • Supported by:
    The National Natural Science Foundation of China(91538201)

摘要:

空间信息网络是海洋目标监视必不可少的技术,基于空间计算模式的多源卫星信息融合能够有效提升天基平台对海洋目标的广域搜索、精细识别、持续监视和快速响应能力,是我国未来天基海洋目标监视的重要发展方向。从空间信息网络和天基海洋目标监视的发展现状、相关研究工作、差距与不足等角度出发,分析了基于空间信息网络的海洋目标监视,结合空间计算技术,提出了基于空间信息网络的多源卫星海洋目标监视发展建议,并重点研究了空间资源组网、在轨信息融合和新型载荷三方面的关键技术。

关键词: 空间信息网络, 海洋目标监视, 空间计算模式, 信息融合

Abstract:

The space information network is indispensable for marine target surveillance.Multi-satellite information fusion methods which are based on spatial computing mode can improve the ability of wide-area scanning,accurate recognition,persistent tracking and rapid responding.The mode of on-board information fusion for sea target surveillance needs to be further studied.Firstly,the developments of spatial information network and satellite for sea surveillance were discussed and the existing problems were summarized.Then the architecture of marine target surveillance based on spatial computing was put forward.The key technology and future development of on-board computing for ocean target surveillance were studied and discussed in the fields of spatial networking and information fusion.

Key words: space information network, maritime surveillance, spatial computing mode, information fusion

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