A study on the indexing of satellite images at NASA regional application center

C. Ghirardini, Soon Ae Chun, V. Atluri, I. Kamel, N. R. Adam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 12th International Workshop on Database and Expert Systems Applications, DEXA 2001
EditorsA. M. Tjoa, R.R. Wagner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages859-864
Number of pages6
ISBN (Electronic)0769512305
DOIs
StatePublished - 2001
Event12th International Workshop on Database and Expert Systems Applications, DEXA 2001 - Munich, Germany
Duration: Sep 3 2001Sep 7 2001

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2001-January
ISSN (Print)1529-4188

Other

Other12th International Workshop on Database and Expert Systems Applications, DEXA 2001
CountryGermany
CityMunich
Period9/3/019/7/01

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Keywords

  • Color
  • Image databases
  • Image resolution
  • Indexing
  • NASA
  • Performance analysis
  • Satellites
  • Spatial databases
  • Temperature
  • Vegetation mapping

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