Title :
System Design Considerations for Image Information Mining in Large Archives
Author :
Muñoz, Inés María Gómez ; Datcu, Mihai
Author_Institution :
Remote Sensing Dept., Indra Espacio S.A., San Fernando de Henares, Spain
Abstract :
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.
Keywords :
artificial satellites; data mining; geophysics computing; image processing; records management; remote sensing; systems analysis; visual databases; data archive; data processing; downlink rates; image information mining; large archives; satellites; system design considerations; image information mining (IIM); software design architecture;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2028439
