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

doi:10.1117/1.JRS.10.034003

CORC > 北京大学 > 地球与空间科学学院

	Integration and management of massive remote-sensing data based on GeoSOT subdivision model
	Li, Shuang ; Cheng, Chengqi ; Chen, Bo ; Meng, Li
刊名	JOURNAL OF APPLIED REMOTE SENSING
	2016
关键词	geographic coordinate subdivision grid with one-dimension integer coding on 2n-tree remote-sensing data array database inverted index GRID SYSTEM ENVIRONMENT CHINA
DOI	10.1117/1.JRS.10.034003
英文摘要	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 2(n)-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 meta-data 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. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE); High-Resolution Earth Observation System National Key Foundation of China [03-Y30B06-9001-13/15, 30-Y30B13-9003-14/16]; SCI(E); EI; SSCI; ARTICLE; ccqpku@163.com; 3; 10
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/494565]
专题	地球与空间科学学院工学院
推荐引用方式 GB/T 7714	Li, Shuang,Cheng, Chengqi,Chen, Bo,et al. Integration and management of massive remote-sensing data based on GeoSOT subdivision model[J]. JOURNAL OF APPLIED REMOTE SENSING,2016.
APA	Li, Shuang,Cheng, Chengqi,Chen, Bo,&Meng, Li.(2016).Integration and management of massive remote-sensing data based on GeoSOT subdivision model.JOURNAL OF APPLIED REMOTE SENSING.
MLA	Li, Shuang,et al."Integration and management of massive remote-sensing data based on GeoSOT subdivision model".JOURNAL OF APPLIED REMOTE SENSING (2016).