High-performance image database system for remote sensing

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

doi:10.1117/12.233068

19 February 1996 High-performance image database system for remote sensing

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

Proceedings Volume 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation; (1996) https://doi.org/10.1117/12.233068
Event: 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, 1995, Washington, DC, United States

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.

Citation Download Citation

Carter T. Shock, Chialin Chang, Larry S. Davis, Samuel N. Goward, Joel H. Saltz, and 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

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