@inproceedings{d60157b83987497e94d6a1373c6e4f51,
title = "A study on the indexing of satellite images at NASA regional application center",
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 = "Color, Image databases, Image resolution, Indexing, NASA, Performance analysis, Satellites, Spatial databases, Temperature, Vegetation mapping",
author = "C. Ghirardini and Chun, {Soon Ae} and V. Atluri and I. Kamel and Adam, {N. R.}",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; 12th International Workshop on Database and Expert Systems Applications, DEXA 2001 ; Conference date: 03-09-2001 Through 07-09-2001",
year = "2001",
doi = "10.1109/DEXA.2001.953163",
language = "English (US)",
series = "Proceedings - International Workshop on Database and Expert Systems Applications, DEXA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "859--864",
editor = "Tjoa, {A. M.} and R.R. Wagner",
booktitle = "Proceedings - 12th International Workshop on Database and Expert Systems Applications, DEXA 2001",
address = "United States",
}