摘要
高分多模(GFDM-1)卫星是我国民用空间基础设施规划中的首颗高分辨率光学对地成像敏捷遥感卫星,其最高分辨率达到0.42m,成像模式灵活且丰富。为实现卫星设计、研制与应用的紧密结合,确保卫星入轨后实现高成像质量、高成图效率、高应用效益,切实解决用户业务中的实际问题,开展了星地一体化专项工作,在卫星像质保证、任务定制、数据处理、在轨综合效能评估等方面部署了研究课题,在卫星工程研制和在轨测试阶段全程同步实施。通过技术研究、产品开发、测试与应用,并在卫星入轨后迅速支持卫星任务定制、载荷定标、数据处理与业务应用,实现了星地一体化同步协调发展,提高了空间基础设施应用效益。
GFDM-1 satellite is the first high-resolution optical agile remote-sensing satellite in China’s civil-use space infrastructure plan.Its resolution is up to 0.42m,and the imaging modes are flexible and variable.In order to realize close integration of satellite design,manufacture and application,to ensure high imaging quality,high mapping efficiency and high application efficiency in-orbit,and to effectively solve the practical problems in user business,several special efforts on satellite-ground integration have been made,including satellite image quality assurance,task customization,data processing,application effect evaluation,etc.The research works are conducted simultaneously with the manufacturing and in-orbit testing of the satellite.Through technical research,product development,testing and application,after the satellite enters orbit,it quickly supports satellite mission customization,payload calibration,data processing and customer application,realizes a synchronous and coordinated development of satellite-ground integration,and improves the application efficiency of space infrastructure.
作者
郭丁
孟令杰
于龙江
时魏旭
李姗姗
范立佳
余婧
姜洋
GUO Ding;MENG Lingjie;YU Longjiang;SHI Weixu;LI Shanshan;FAN Lijia;YU Jing;JIANG Yang(China Academy of Space Technology, Beijing 100094, China;Major and Special Engineering Center, State Administration of Science, Technology and Industry for National Defense, Beijing 100101, China;Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China;Taiyuan Satellite Launch Center, Taiyuan 036301, China)
出处
《航天器工程》
CSCD
北大核心
2022年第1期24-30,共7页
Spacecraft Engineering
关键词
空间基础设施
星地一体化
敏捷成像
像质提升
任务定制
space infrastructure
satellite-to-ground integration
agile imaging
imaging quality promotion
task ordering