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Proceedings Paper

High-performance image database system for remote sensing
Author(s): Carter T. Shock; Chialin Chang; Larry S. Davis; Samuel N. Goward; Joel H. Saltz; Alan D. Sussman
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Paper 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.

Paper Details

Date Published: 19 February 1996
PDF: 10 pages
Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); doi: 10.1117/12.233068
Show Author Affiliations
Carter T. Shock, Univ. of Maryland/College Park (United States)
Chialin Chang, Univ. of Maryland/College Park (United States)
Larry S. Davis, Univ. of Maryland/College Park (United States)
Samuel N. Goward, Univ. of Maryland/College Park (United States)
Joel H. Saltz, Univ. of Maryland/College Park (United States)
Alan D. Sussman, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 2645:
24th AIPR Workshop on Tools and Techniques for Modeling and Simulation
Donald J. Gerson, Editor(s)

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