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Clusters Versus FPGA for Parallel Processing of Hyperspectral Imagery
2008
The international journal of high performance computing applications
Hyperspectral imaging is a new technique in remote sensing that generates images with hundreds of spectral bands, at different wavelength channels, for the same area on the surface of the Earth. Although in recent years several efforts have been directed toward the incorporation of parallel and distributed computing in hyperspectral image analysis, there are no standardized architectures for this purpose in remote sensing missions. To address this issue, this paper develops two highly
doi:10.1177/1094342007088376
fatcat:ii7o76cywvg35kfmcmw5zb5t7a