DocumentCode :
1110392
Title :
Near-real-time satellite image processing: metacomputing in CC++
Author :
Lee, Craig A. ; Kesselman, Carl ; Schwab, Stephen
Author_Institution :
Dept. of Comput. Syst. Res., Aerosp. Corp., Los Angeles, CA, USA
Volume :
16
Issue :
4
fYear :
1996
fDate :
7/1/1996 12:00:00 AM
Firstpage :
79
Lastpage :
84
Abstract :
Metacomputing combines heterogeneous system elements in a seamless computing service. In this case study, we introduce the elements of metacomputing and describe an application for cloud detection and visualization of infrared and visible-light satellite images. The application processes the satellite images by using Compositional C++ (CC++)-a simple, yet powerful extension of C++-and its runtime system, Nexus, to integrate specialized resources, high-speed networks, parallel and distributed computing, and stereoscopic visualization in virtual reality (VR) displays
Keywords :
C language; clouds; data visualisation; geophysics computing; image processing; object-oriented languages; parallel processing; real-time systems; remote sensing; satellite communication; CC++; Compositional C++; IR images; Nexus; case study; cloud detection; distributed computing; heterogeneous system elements; high-speed networks; metacomputing; near-real-time satellite image processing; parallel computing; runtime system; seamless computing service; specialized resources; stereoscopic visualization; virtual reality displays; visible-light images; Clouds; Distributed computing; High-speed networks; Image processing; Infrared detectors; Infrared imaging; Metacomputing; Satellites; Virtual reality; Visualization;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/38.511859
Filename :
511859
Link To Document :
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