关键词: 遥感数据, 高性能存储, 分布式集群化, 对象存储

Abstract:

For the urgent needs of the high-resolution earth observation remote sensing data storage and the high-speed access, this paper uses the distributed architecture, object storage and clustering technology, combines the spatial characteristics of remote sensing data to build organizational model based on the data object, designs a storage management architecture with the spatial position as the leading. A remote sensing big data storage system with efficient sharing of distributed cluster can be reformed, that is a global coverage in logic, a dispersed storage in physics and an integration of the storage views of global data. By this architecture, the flexibility of remote sensing data resources configuration, the customization and personalization of business regionalization, and the intelligence of management systems can be achieved.

Key words: remote sensing data, high-performance storage, distributed clustering, object storage