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Wang X.,Wuhan University | Yang Q.,Wuhan University | Chen F.,Wuhan InfoEarth Information Co. | Ma W.,Wuhan InfoEarth Information Co. | And 3 more authors.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2015

It is an issue to be addressed as how to efficiently store and manage massive data that in high resolution and high spectral remote sensing images, and achieve rapid processing, retrieval and visualization of remote sensing data is the problem to be solved. Using non-relational database technology, we designed massive image storage model consists of remote sensing metadata database, image database and image pyramid; set up the remote sensing image storage middleware that consists of the hardware support layer, data layer, data service layer, and application layer. Experiment verifies the remote sensing image data storage model and middleware that based on non-relational database is superior to relational database for video data read and write. Research results prove have great practical value for efficiently storage and management of massive remote sensing image data. ©, 2015, China University of Geosciences. All right reserved.

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