Carvajal-Jimenez, Carmen L.

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Using grid computing to enable hyperspectral imaging analysis
(2004) Carvajal-Jimenez, Carmen L.; Rivera-Gallego, Wilson; College of Engineering; Rodriguez, Manuel; Rodriguez, Nestor; Department of Electrical and Computer Engineering; Gonzalez, Ana C.
Hyperspectral imaging analysis demands large input data sets and in turn re- quires signi¯cant CPU time and memory capacity. Grid Computing has the potential of improving the performance of these types of data and computational intensive applications. In this thesis we describe the design and implementation of Grid-HSI, a Service Oriented Architecture-based Grid application to enable hyperspectral imaging analysis. Grid-HSI provides users with a transparent interface to access computational resources and perform remotely hyperspectral imaging analysis through a set of Grid services. The base of the system is composed by a Portal Grid Interface, a Data Broker and a set of specialized Grid services. The system is based on the Open Grid Service Architecture (OGSA), and imple- mented on the top of Globus Toolkit 3 (GT3). We have conducted experiments that show the suitability of Grid-HSI to perform e±ciently hyperspectral analysis.