Remote sensing image database based on NOSQL database

Relational database technology plays an eventually role in the area of storage, management and analysis of global image in the past few decades. However, an RDBMS isn't an ideal platform for modeling complicated spatial data networks and it is expensive and hard to maintain especially when the...

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Bibliographic Details
Published in2011 19th International Conference on Geoinformatics pp. 1 - 5
Main Authors Zhifeng Xiao, Yimin Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
HBase
HBGIS
NOSQL Database
Pyramid map
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ISBN1612848494
9781612848495
ISSN2161-024X
DOI10.1109/GeoInformatics.2011.5980724

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Summary:Relational database technology plays an eventually role in the area of storage, management and analysis of global image in the past few decades. However, an RDBMS isn't an ideal platform for modeling complicated spatial data networks and it is expensive and hard to maintain especially when the whole system is getting larger. With a revolution of Web technology, named as Web 2.0, NOSQL storages become an extremely hot new paradigm in data present and application. Hadoop offers a free open database named as HBase that closely emulate most of the components of Google's BigTable in the management of global mass GIS data. This paper provides a view of the capabilities of NOSQL Database applied in global image systems and we have come out with that NOSQL Database involved huge volumes, network partitioning, and replication has a wide applicability, scalability and high performance than the traditional relational ones.
ISBN:1612848494
9781612848495
ISSN:2161-024X
DOI:10.1109/GeoInformatics.2011.5980724