Abstract

It's a key problem how to efficiently organize and manage the growing massive multi-source heterogeneous spatial science data. The paper researched a number of key technologies of data organization and management systems including data storage, data retrieval, and data visualization. Firstly, it proposed and designed effective system architecture, secondly, it enabled efficient storage, search and location of massive heterogeneous data by spatial relational database and distributed database technology, lastly, it improved the visualization efficiency of space science data by three-dimensional data earth, the levels of detail (LOD), the three dimensional data cutting, and multi-threaded parallel loading techniques. Based on the current spatial data management technology and structural features of space science data, we completed the integration of the massive multi-source heterogeneous data visualized organization and management system. The system in the application confirms the validity of these technologies for data storage, data retrieval and data visualization.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.