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李德仁，丁霖，邵振峰.2021.面向实时应用的遥感服务技术.遥感学报，25（1）： 15-24
Li D R，Ding L and Shao Z F. 2021. Application-oriented real-time remote sensing service technology. National Remote Sensing Bulletin， 25（1）：15-24
当前中国卫星事业正面临着难得的发展机遇，以应用需求为牵引，着力提升卫星遥感的服务能力，充分发挥卫星的应用效益，突破通信、导航、遥感卫星的系统壁垒，构建通导遥一体化的天基信息实时服务系统，提供全天时、全天候、全地域的面向实时应用的服务。本文首先分析了天空地海对地观测传感网实时服务能力，接着阐述了遥感技术实时应用服务需求（抗震救灾遥感高时效性服务需求、地表形变遥感监测需求、大众实景服务需求等），剖析了基于人工智能的遥感在轨处理技术，最后论述了遥感技术从最初提供数据和信息向提供实时服务的转变趋势。
The aerospace industry in China has developed rapidly over the past 40 years. Remote sensing satellites have grown and gradually developed, and this situation has formed a variety of various satellite series. The communication satellite series, navigation satellite series, Earth observation satellite series, and science and technology test satellite series constitute the current application satellite system in China, which is used in national land and resources survey, meteorological services, environmental monitoring, ocean remote sensing, and other fields. This system provides the foundation for the development of satellite applications.,At present, the satellite systems of communication, navigation, and remote sensing are separate and independent. Thus, they cannot meet the real-time, intelligent, and diversified requirements in the era of big data. In addition to the application of land, surveying and mapping, planning, geology and mining, agriculture, transportation, marine, and other industries, the government, enterprises, and the public have shown a large and urgent need for satellite remote sensing navigation data and services, especially high-resolution satellite remote sensing data and services. The demand of users in different industries and fields for remote sensing data products has gradually changed from singularity and standardization to diversification and specialization; from static investigation to dynamic monitoring, forecasting, and forecasting; from qualitative analysis to quantitative research; and from general application to batch business. Therefore, with the application requirements as the traction, focusing on improving the service capabilities of satellite remote sensing, the communication-navigation-remote sensing integrated space-based information service system with integrated communication, navigation, and remote sensing can be built to provide all-day, all-weather, all-region application-oriented services. This system fully utilizes the benefits of satellite applications. Thus, it breaks the barriers of satellites of communication, navigation, and remote sensing.,Building a space-based information real-time service system (positioning, navigation, timing, remote sensing, communication, PNTRC) based on “one-satellite multitasking, multi-satellite networking, multi-network integration, and intelligent services” that integrates communication, navigation, and remote sensing, has become an important direction for the development of contemporary aerospace information technology. In the era of 5G, Internet of Things, big data and artificial intelligence, it is inevitable to study remote sensing service technologies for real-time applications in the era of 5G, Internet of Things, big data, and artificial intelligence is important to meet people’s strong demand for “fast, accurate, and flexible” remote sensing information services with the way of B2B, B2G, or B2C.,This paper first studied the real-time service capabilities of space-air-ground-sea integrated Earth observation network. Then, the real-time application service requirements of remote sensing technology (requirements for high-efficiency remote sensing services for earthquake and disaster relief, remote sensing monitoring requirements for land surface deformation, and demand for public real-world services) were elaborated. Finally, the on-orbit processing technology based on artificial intelligence was analyzed, and the trend of remote sensing technology transformed from remote sensing information to real-time services was discussed.
遥感天空地海对地观测传感网实时应用服务人工智能在轨处理
remote sensingspace-air-ground-sea integrated earth observation networkreal-time application servicesartificial intelligence on-orbit processing
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