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