High-performance image database system for remote sensing

Carter Shock; Chialin Chang; Larry S. Davis; Samuel Goward; Joel H. Saltz; Alan D. Sussman

High-performance image database system for remote sensing

Carter Shock
, Chialin Chang
, Larry S. Davis
, Samuel Goward
, Joel H. Saltz
, Alan D. Sussman

Biomedical Informatics

Stony Brook University

University of Maryland, College Park

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

Abstract

We present the design of 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++ and Jovian libraries, developed at the University of Maryland as part of an NSF grand challenge project, to support parallel object oriented programming and parallel I/O, respectively.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	Donald J. Gerson
Pages	20-29
Number of pages	10
State	Published - 1996
Event	24th AIPR Workshop on Tools and Techniques for Modeling and Simulation - Washington, DC, USA Duration: Oct 11 1995 → Oct 13 1995

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2645

Conference

Conference	24th AIPR Workshop on Tools and Techniques for Modeling and Simulation
City	Washington, DC, USA
Period	10/11/95 → 10/13/95

Cite this

@inproceedings{34e8f50288b8453786d2e650a13c529c,

title = "High-performance image database system for remote sensing",

abstract = "We present the design of 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++ and Jovian libraries, developed at the University of Maryland as part of an NSF grand challenge project, to support parallel object oriented programming and parallel I/O, respectively.",

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

year = "1996",

language = "English",

isbn = "0819420182",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "20--29",

editor = "Gerson, \{Donald J.\}",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "24th AIPR Workshop on Tools and Techniques for Modeling and Simulation ; Conference date: 11-10-1995 Through 13-10-1995",

}

Shock, C, Chang, C, Davis, LS, Goward, S, Saltz, JH & Sussman, AD 1996, High-performance image database system for remote sensing. in DJ Gerson (ed.), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2645, pp. 20-29, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, Washington, DC, USA, 10/11/95.

High-performance image database system for remote sensing. / Shock, Carter; Chang, Chialin; Davis, Larry S. et al.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Donald J. Gerson. 1996. p. 20-29 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2645).

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

TY - GEN

T1 - High-performance image database system for remote sensing

AU - Shock, Carter

AU - Chang, Chialin

AU - Davis, Larry S.

AU - Goward, Samuel

AU - Saltz, Joel H.

AU - Sussman, Alan D.

PY - 1996

Y1 - 1996

N2 - We present the design of 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++ and Jovian libraries, developed at the University of Maryland as part of an NSF grand challenge project, to support parallel object oriented programming and parallel I/O, respectively.

AB - We present the design of 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++ and Jovian libraries, developed at the University of Maryland as part of an NSF grand challenge project, to support parallel object oriented programming and parallel I/O, respectively.

UR - https://www.scopus.com/pages/publications/0029715868

M3 - Conference contribution

SN - 0819420182

SN - 9780819420183

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 20

EP - 29

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Gerson, Donald J.

T2 - 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation

Y2 - 11 October 1995 through 13 October 1995

ER -

High-performance image database system for remote sensing

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this