摘要
遥感卫星在轨处理技术是推动遥感技术实现实时智能服务的核心环节。针对星上资源受限环境引起的系列处理难题及遥感数据实时处理与信息提取需求,本文首先构建了任务驱动的卫星遥感数据在轨处理框架,以任务需求为核心并协同星地资源建立基于感兴趣区域的星上处理技术体系;然后,面向不同任务层级和应用场景,给出了以位置信息为驱动的基础在轨处理模式、以目标/场景内容和变化事件为驱动的智能处理模式;最后,论述了适配星上资源受限环境的在轨处理关键算法,基于珞珈三号01星星上处理应用程序,验证了典型算法的在轨处理效果。在任务驱动和星地协同机制下,实现了在轨高精度定位、多类型影像产品快速生成、静动态目标信息实时提取及静态和动态影像高倍率近实时压缩。在轨处理显著提高了传统地面处理的效率,能够有效支撑后续卫星遥感实时智能服务。
The on-orbit processing technology of remote sensing satellites stands as a pivotal component driving the achievement of real-time intelligent services in remote sensing technology.In response to the challenges posed by limited on-orbit resources and the growing demands for real-time data processing and information extraction,this paper initially establishes a task-driven framework for on-orbit processing of satellite remote sensing data.The framework places mission requirements at the core and collaborates with space and ground-based resources to establish a comprehensive on-orbit processing system centered around regions of interest(ROIs).In addition,this paper addresses the diverse needs of different task levels and application scenarios by presenting on-orbit processing modes;the basic model driven by location information and the intelligent modes driven by target or scene content and change events.Finally,this paper delves into the critical algorithms necessary for adapting to the resource-constrained on-board environment.Using the on-orbit processing applications(APPs)on the Luojia-301 satellite,the performance of these algorithms was verified.Under the framework of task-driven processing and satellite-ground coordination,the Luojia-301 satellite successfully achieved high-precision on-orbit geo-positioning,rapid generation of multi-type image products,real-time extraction of information from both static and dynamic targets,and high-rate,near real-time compression of static and dynamic images.The on-orbit processing significantly enhances the efficiency of traditional ground-based processing and effectively supports subsequent real-time intelligent services in satellite remote sensing.
作者
王密
郭贝贝
皮英冬
张致齐
肖晶
戴荣凡
项韶
WANG Mi;GUO Beibei;PI Yingdong;ZHANG Zhiqi;XIAO Jing;DAI Rongfan;XIANG Shao(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;School of Computer Science,Hubei University of Technology,Wuhan 430068,China;School of Computer Science,Wuhan University,Wuhan 430072,China)
出处
《测绘学报》
EI
CSCD
北大核心
2024年第4期599-609,共11页
Acta Geodaetica et Cartographica Sinica
基金
国家重点研发计划(2022YFB3902804)
国家自然科学基金(42192583)。
关键词
在轨处理
任务驱动
星地协同
实时智能服务
珞珈三号01星
on-orbit processing
mission-driven
satellite-ground collaboration
real-time intelligent service
Luojia-301 satellite
