Imager to spectrometer: extracting spectral data from the two-dimensional array

Details Imager to spectrometer: extracting spectral data from the two-dimensional array Imager to spectrometer: extracting spectral data from the two-dimensional array

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5563...88n&link_type=abstract

Image Reconstruction from Incomplete Data III. Edited by Bones, Philip J.; Fiddy, Michael A.; Millane, Rick P. Proceedings of

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A common technique in the design of a spectral imaging system is the use of a prism as the dispersive element to disperse the colors onto the focal plane. The imaging system can serve as a spectrometer for point events with minimal computational load because the spectral data from a point event is spread directly on the FPA. The fidelity of the spectrum depends in this case on several factors, including the relative orientation between prism and FPA; the relative sizes of pixel pitch and sensor point spread function; and algorithms to determine spectral calibration and content. In this paper, we elucidate some methods for extracting the spectral data from the two-dimensional array of measurements, including the use of radial basis functions, and demonstrate the procedure with data from a spectral imager.

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