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12th International Workshop on Database and Expert Systems Applications
A Study on the Indexing of Satellite Images at NASA Regional Application Center
Munich, Germany
September 03-September 07
ISBN: 0-7695-1230-5
ASCII Text
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Chiara Ghirardini, Soon Ae Chun, Vijay Atluri, Nabil R. Adam, Ibrahim Kamel, "A Study on the Indexing of Satellite Images at NASA Regional Application Center," Database and Expert Systems Applications, International Workshop on, pp. 0859, 12th International Workshop on Database and Expert Systems Applications, 2001.
 
 
BibTex
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@article{ 10.1109/DEXA.2001.953163,
author = {Chiara Ghirardini and Soon Ae Chun and Vijay Atluri and Nabil R. Adam and Ibrahim Kamel},
title = {A Study on the Indexing of Satellite Images at NASA Regional Application Center},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1230-5},
pages = {0859},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2001.953163},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - A Study on the Indexing of Satellite Images at NASA Regional Application Center
SN - 0-7695-1230-5
SP
EP
A1 - Chiara Ghirardini,
A1 - Soon Ae Chun,
A1 - Vijay Atluri,
A1 - Nabil R. Adam,
A1 - Ibrahim Kamel,
PY - 2001
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
Chiara Ghirardini, University of Milan
Soon Ae Chun, CIMIC-Rutgers University
Vijay Atluri, CIMIC-Rutgers University
Nabil R. Adam, CIMIC-Rutgers University
Ibrahim Kamel, Panasonic Research Lab
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 SS-tree gives the best performance for our application.
Citation:
Chiara Ghirardini, Soon Ae Chun, Vijay Atluri, Nabil R. Adam, Ibrahim Kamel, "A Study on the Indexing of Satellite Images at NASA Regional Application Center," dexa, pp.0859, 12th International Workshop on Database and Expert Systems Applications, 2001
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