Clusters Versus FPGA for Parallel Processing of Hyperspectral Imagery

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Provided by: Sage Payroll Services
Topic: Data Centers
Format: PDF
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 innovative implementations of a standard hyperspectral data processing chain utilized, among others, in commercial software tools such as Kodak's research systems ENVI software package (one of the most popular tools currently available for processing remotely sensed data).
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