DocumentCode :
3524081
Title :
A study on the indexing of satellite images at NASA regional application center
Author :
Ghirardini, Chiara ; Chun, Soon Ae ; Atluri, Vijay ; Kamel, Ibrahim ; Adam, Nabil R.
Author_Institution :
Milan Univ., Italy
fYear :
2001
fDate :
2001
Firstpage :
859
Lastpage :
864
Abstract :
This paper presents a performance analysis of indexing structures for the satellite image database. The unique features of this database are that the images vary in resolution level and time of capture, but cover the same geographic area. Each image belongs to one of the following types: raw, processed, vegetation, temperature, water, and color. We are particularly interested in comparing the space requirements, insertion and creation time, and query response time. We have implemented a web-based information system for satellite images using Oracle DBMS. We implemented different indexing structures on top of the system for our experiments. We found that the SS-tree gives the best performance for our application
Keywords :
database indexing; geographic information systems; image retrieval; remote sensing; trees (mathematics); visual databases; NASA regional application center; Oracle DBMS; SS-tree; geographic information system; image database; image indexing; satellite images; web-based information system; Color; Image databases; Image resolution; Indexing; NASA; Performance analysis; Satellites; Spatial databases; Temperature; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7695-1230-5
Type :
conf
DOI :
10.1109/DEXA.2001.953163
Filename :
953163
Link To Document :
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