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Research on the Construction of Data Management System of Massive Satellite Images

机译:海量卫星图像数据管理系统建设研究

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With the rapid development of aerospace remote sensing technologies, enormous challenges have been brought to the storage organization and high-effective management of the massive satellite images. By analyzing the big-data characteristics of the satellite images, this paper introduced and constructed the distributed database based on cluster storage system with regard to the selection of storage system types, the design of database models and the development of the management system. Focusing on solving the problems, such as the low-speed of imagery big data archiving, inadequate performance of query service and the inefficiency of statistics and analysis, this paper conducted the research on the multi-processor parallel archiving, relation queries on JSON and fast statistics analysis method of grid imagery coverage, and achieved the massive satellite image management with the daily data increment of terabytes and the annual increment of petabytes of data.
机译:随着航空遥感技术的飞速发展,海量卫星图像的存储组织和高效管理面临巨大挑战。通过分析卫星图像的大数据特征,从存储系统类型的选择,数据库模型的设计和管理系统的开发等方面,介绍并构建了基于集群存储系统的分布式数据库。针对解决图像大数据归档速度慢,查询服务性能不足,统计分析效率低等问题,进行了多处理器并行归档,JSON关系查询,快速查询等方面的研究。网格图像覆盖率的统计分析方法,实现了每日卫星数据增量为TB的年度增量和PB数据增量为PB的大规模卫星影像管理。

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