A high performance image database system for remotely sensed imagery

Carter T. Shock; Chialin Chang; Larry Davis; Samuel Goward; Joel Saltz; Alan Sussman

doi:10.1007/bfb0024692

A high performance image database system for remotely sensed imagery

Carter T. Shock
, Chialin Chang
, Larry Davis
, Samuel Goward
, Joel Saltz
, Alan Sussman

Biomedical Informatics

University of Maryland, College Park

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

We present the design of and performance results for an image database system for remotely sensed imagery. The system stores and serves level 1B remotely sensed data, providing users with a flexible and efficient means for specifying and obtaining image-like products on either a global or a local scale. We have developed both parallel and sequential versions of the system; the parallel version uses the CHAOS++ library, developed at the University of Maryland as part of an NSF Grand Challenge project, to support parallel object oriented programming.

Original language	English
Title of host publication	Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings
Editors	Luc Bouge, Pierre Fraigniaud, Anne Mignotte, Yves Robert
Publisher	Springer Verlag
Pages	109-122
Number of pages	14
ISBN (Print)	3540616276, 9783540616276
DOIs	https://doi.org/10.1007/bfb0024692
State	Published - 1996
Event	2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996 - Lyon, France Duration: Aug 26 1996 → Aug 29 1996

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1124
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996
Country/Territory	France
City	Lyon
Period	08/26/96 → 08/29/96

Access to Document

10.1007/bfb0024692

Cite this

Shock, C. T., Chang, C., Davis, L., Goward, S., Saltz, J., & Sussman, A. (1996). A high performance image database system for remotely sensed imagery. In L. Bouge, P. Fraigniaud, A. Mignotte, & Y. Robert (Eds.), Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings (pp. 109-122). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1124). Springer Verlag. https://doi.org/10.1007/bfb0024692

Shock, Carter T. ; Chang, Chialin ; Davis, Larry et al. / A high performance image database system for remotely sensed imagery. Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings. editor / Luc Bouge ; Pierre Fraigniaud ; Anne Mignotte ; Yves Robert. Springer Verlag, 1996. pp. 109-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{001942aa3f6d4ee580ccd0589f44881b,

title = "A high performance image database system for remotely sensed imagery",

abstract = "We present the design of and performance results for an image database system for remotely sensed imagery. The system stores and serves level 1B remotely sensed data, providing users with a flexible and efficient means for specifying and obtaining image-like products on either a global or a local scale. We have developed both parallel and sequential versions of the system; the parallel version uses the CHAOS++ library, developed at the University of Maryland as part of an NSF Grand Challenge project, to support parallel object oriented programming.",

author = "Shock, \{Carter T.\} and Chialin Chang and Larry Davis and Samuel Goward and Joel Saltz and Alan Sussman",

note = "Publisher Copyright: {\textcopyright} 1996, Springer Verlag. All rights reserved.; 2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996 ; Conference date: 26-08-1996 Through 29-08-1996",

year = "1996",

doi = "10.1007/bfb0024692",

language = "English",

isbn = "3540616276",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "109--122",

editor = "Luc Bouge and Pierre Fraigniaud and Anne Mignotte and Yves Robert",

booktitle = "Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings",

}

Shock, CT, Chang, C, Davis, L, Goward, S, Saltz, J & Sussman, A 1996, A high performance image database system for remotely sensed imagery. in L Bouge, P Fraigniaud, A Mignotte & Y Robert (eds), Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1124, Springer Verlag, pp. 109-122, 2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996, Lyon, France, 08/26/96. https://doi.org/10.1007/bfb0024692

A high performance image database system for remotely sensed imagery. / Shock, Carter T.; Chang, Chialin; Davis, Larry et al.
Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings. ed. / Luc Bouge; Pierre Fraigniaud; Anne Mignotte; Yves Robert. Springer Verlag, 1996. p. 109-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1124).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chang, Chialin

AU - Davis, Larry

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AU - Saltz, Joel

AU - Sussman, Alan

PY - 1996

Y1 - 1996

N2 - We present the design of and performance results for an image database system for remotely sensed imagery. The system stores and serves level 1B remotely sensed data, providing users with a flexible and efficient means for specifying and obtaining image-like products on either a global or a local scale. We have developed both parallel and sequential versions of the system; the parallel version uses the CHAOS++ library, developed at the University of Maryland as part of an NSF Grand Challenge project, to support parallel object oriented programming.

AB - We present the design of and performance results for an image database system for remotely sensed imagery. The system stores and serves level 1B remotely sensed data, providing users with a flexible and efficient means for specifying and obtaining image-like products on either a global or a local scale. We have developed both parallel and sequential versions of the system; the parallel version uses the CHAOS++ library, developed at the University of Maryland as part of an NSF Grand Challenge project, to support parallel object oriented programming.

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M3 - Conference contribution

AN - SCOPUS:84947903029

SN - 3540616276

SN - 9783540616276

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings

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A2 - Fraigniaud, Pierre

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A2 - Robert, Yves

PB - Springer Verlag

T2 - 2nd International Euro-Par Conference on Parallel Processing, Euro-Par 1996

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ER -

Shock CT, Chang C, Davis L, Goward S, Saltz J, Sussman A. A high performance image database system for remotely sensed imagery. In Bouge L, Fraigniaud P, Mignotte A, Robert Y, editors, Euro-Par 1996 Parallel Processing - 2nd International Euro-Par Conference, Proceedings. Springer Verlag. 1996. p. 109-122. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/bfb0024692

A high performance image database system for remotely sensed imagery

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