System Design Considerations for Image Information Mining in Large Archives

Generally, the repository of a remote sensing system needs a capacity of hundreds of terabytes to archive original and processed data. There are several satellites whose downlink rates require ingesting over 100 GB into the archive each day. In order to process such a huge volume of data, to classif...

Full description

Saved in:
Bibliographic Details
Published inIEEE geoscience and remote sensing letters Vol. 7; no. 1; pp. 13 - 17
Main Authors Munoz, I.M.G., Datcu, M.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.01.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Archives
Classification
Computer architecture
Data processing
Downlink
Image databases
image information mining (IIM)
Indexes
Mining
Real time systems
Remote sensing
Satellite broadcasting
Service oriented architecture
software design architecture
Spatial databases
Systems design
Web services
Online AccessGet full text

Cover

More Information
Summary:Generally, the repository of a remote sensing system needs a capacity of hundreds of terabytes to archive original and processed data. There are several satellites whose downlink rates require ingesting over 100 GB into the archive each day. In order to process such a huge volume of data, to classify them, to index generated classes in the database, and to provide a quick access to stored information at real time, an image information mining system is developed. In this letter, we present the design of a system architecture for processing data from very large image archives.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2009.2028439