Integration and management of massive remote-sensing data based on GeoSOT subdivision model

Shuang Li; Chengqi Cheng; Bo Chen; Li Meng

doi:10.1117/1.JRS.10.034003

14 September 2016 Integration and management of massive remote-sensing data based on GeoSOT subdivision model

Shuang Li, Chengqi Cheng, Bo Chen, Li Meng

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 3, 034003 (September 2016). https://doi.org/10.1117/1.JRS.10.034003

Abstract

Owing to the rapid development of earth observation technology, the volume of spatial information is growing rapidly; therefore, improving query retrieval speed from large, rich data sources for remote-sensing data management systems is quite urgent. A global subdivision model, geographic coordinate subdivision grid with one-dimension integer coding on 2ⁿ-tree, which we propose as a solution, has been used in data management organizations. However, because a spatial object may cover several grids, ample data redundancy will occur when data are stored in relational databases. To solve this redundancy problem, we first combined the subdivision model with the spatial array database containing the inverted index. We proposed an improved approach for integrating and managing massive remote-sensing data. By adding a spatial code column in an array format in a database, spatial information in remote-sensing metadata can be stored and logically subdivided. We implemented our method in a Kingbase Enterprise Server database system and compared the results with the Oracle platform by simulating worldwide image data. Experimental results showed that our approach performed better than Oracle in terms of data integration and time and space efficiency. Our approach also offers an efficient storage management system for existing storage centers and management systems.

Citation Download Citation

Shuang Li, Chengqi Cheng, Bo Chen, and Li Meng "Integration and management of massive remote-sensing data based on GeoSOT subdivision model," Journal of Applied Remote Sensing 10(3), 034003 (14 September 2016). https://doi.org/10.1117/1.JRS.10.034003

Published: 14 September 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available