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作 者:李维[1] 刘勋[1] 张维畅 孙德伟[1] 李强[1] 阮宁娟[1] LI Wei;LIU Xun;ZHANG Weichang;SUN Dewei;LI Qiang;RUAN Ningjuan(Beijing Institute of Space Mechanics&Electricity,Beijing 100094,China)
出 处:《航天返回与遥感》2022年第4期1-11,共11页Spacecraft Recovery & Remote Sensing
摘 要:边缘计算对智能遥感载荷的应用有着重要的作用,能极大促进人工智能解决方案的部署,研究边缘计算与智能遥感载荷在多方向的深度融合技术,实现海量数据下复杂需求的实时响应,是全面推进天基物联网智能化建设的必要一环。文章在研讨天基边缘智能遥感应用模式的基础上,提出天基边缘智能遥感的总体构想,分析了天基边缘智能遥感系统构建中的核心问题及需要解决的关键技术,并探讨了天基边缘智能遥感在今后发展中可能存在的问题与带来的挑战。Edge computing plays an important role in the application of intelligent remote sensing payloads,which can greatly promote the deployment of artificial intelligence solutions.Studying the edge computing and intelligent remote sensing payloads in multiple directions to achieve real-time response to complex requirements under massive data is a necessary step to comprehensively promote the intelligent construction of the space-based Internet of things;On the basis of discussing the application mode of space-based edge intelligent remote sensing,this paper puts forward the overall conception of space-based edge intelligent remote sensing,analyzes the core problems and key technologies to be solved in the construction of space-based edge intelligent remote sensing systems,and discusses the possible problems and challenges in the future.
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