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.
This research was supported by the National Science Foundation under Grant #ASC 9318183. The Maryland IBM SP2 used for the experiments was provided by NSF CISE Institutional Infrastructure Award #CDA9401151 and a grant from IBM.
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© 1996 Springer-Verlag Berlin Heidelberg
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Shock, C.T. et al. (1996). A high performance image database system for remotely sensed imagery. In: Bougé, L., Fraigniaud, P., Mignotte, A., Robert, Y. (eds) Euro-Par'96 Parallel Processing. Euro-Par 1996. Lecture Notes in Computer Science, vol 1124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024692
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DOI: https://doi.org/10.1007/BFb0024692
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