Paper Info
Title
Remote sensing image data storage and search method based on pyramid model in cloud
Abstract
With the development of satellite remote sensing technology, the volume of remote sensing image data grows exponentially, while the processing capability of common computer system is hard to satisfy the requirements of remote sensing image data accessing. In this paper, we propose a storage and search method Based on MapReduce mechanism in cloud computing environment, called BMR. It is a distributed and parallel storage method which combined with Pyramid Model and MapReduce Thinking. It recodes the tiles of each remote sensing image and defines the storage rule to ensure the tiles can be stored and searched in parallel. Experiments show that BMR method achieves good I/O performance.
Year
DOI
Venue
2012
10.1007/978-3-642-31900-6_34
RSKT
Keywords
Field
DocType
pyramid model,o performance,storage rule,image data storage,mapreduce mechanism,image data,parallel storage method,mapreduce thinking,cloud computing environment,search method,bmr method
Computer data storage,Satellite remote sensing,Computer science,Remote sensing,Pyramid,Cloud computing
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Ying Xia1125.28
Xuanlun Yang200.34