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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.
Carter T. Shock,Chialin Chang,Larry S. Davis,Samuel N. Goward,Joel H. Saltz, andAlan D. Sussman
"High-performance image database system for remote sensing", Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233068
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Carter T. Shock, Chialin Chang, Larry S. Davis, Samuel N. Goward, Joel H. Saltz, Alan D. Sussman, "High-performance image database system for remote sensing," Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233068