高分辨率卫星地面处理系统研制  

Development of high-resolution satellite ground processing system

作　　者：王冰冰 喻文勇[1] 龙小祥 林军[1] 王海波 宋超宇 陈琦[1] 葛曙乐[1] 李帅 WANG Bingbing;YU Wenyong;LONG Xiaoxiang;LIN Jun;WANG Haibo;SONG Chaoyu;CHEN Qi;GE Shule;LI Shuai(China Centre for Resources Satellite Data and Application,Beijing 100094,China)

机构地区：[1]中国资源卫星应用中心,北京100094

出　　处：《遥感学报》2021年第9期1946-1963,共18页NATIONAL REMOTE SENSING BULLETIN

摘　　要：高分卫星地面处理系统是高分辨率对地观测系统重大专项的重要组成部分,实现高分一号到高分七号卫星各载荷数据录入、各级标准产品生产、存档、仿真、评价、分发服务、定标检校以及有效载荷管理等。地面处理系统采用了基于HADOOP平台的计算与存储统一的云计算地面处理架构,通过HDFS分布式文件系统将节点内部存储聚合为海量数据存储系统,通过YARN资源管理系统实现海量数据的统一调度和大规模并行处理,结合多光谱、高光谱、红外、微波、激光雷达和大气探测等多种卫星遥感数据高精度处理算法,构建多星通用大数据综合处理平台,大幅提升数据综合处理、数据存储与管理、分发服务等能力,为各类用户提供高精度、高质量的标准数据产品。The ground processing system of the high-resolution satellites is an important component of the high-resolution earth observation system. Following the principles of standardization, safety and reliability, maintainability, economy, and advanced technology, a remote sensing data comprehensive processing platform, which can realize the functions of data ingestion, multilevel standard data production, archiving, simulation, evaluation, distribution services, radiometric and geometric calibration, observation management of the payloads on GF-1 to GF-7 satellites, is designed and developed.The ground processing system adopts the cloud computing ground processing architecture based on the HADOOP platform and integrates the internal storage of nodes into a massive data storage system through the HDFS distributed file system. It also realizes the united scheduling and large-scale parallel processing of massive data through the Yarn resource management system. Moreover, it studies and develops the high-precision processing algorithms of the multispectral, hyper-spectral, infrared, microwave, Lidar, and atmosphere detection payloads on the satellites.The high-resolution satellite ground processing system builds a multisatellite comprehensive processing platform for massive satellite data. The capabilities of the ground processing system have been substantially improved in data integrated processing, data storage and management, and data distribution services;it provides standard data products to users with high accuracy and quality.It has 400 trillion calculations per second and highly automated data processing capacity of more than 20 TB per day. It can process a wide range of satellite payload types for GF-1 to GF-7 satellites. In the normal mode, the data processing time of each orbit is not more than2 hours, and the emergency processing time is not more than 45 minutes. The system has 25 PB scalable storage and management capabilities of massive remote sensing image data. The products are stored online and near line w

关 键 词：云计算 高分卫星 地面系统 遥感数据处理 

分 类 号：P237[天文地球—摄影测量与遥感]