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

Richard J. Nelson

doi:10.1117/12.560712

21 October 2004 Imager to spectrometer: extracting spectral data from the two-dimensional array

Richard J. Nelson

Proceedings Volume 5563, Infrared Systems and Photoelectronic Technology; (2004) https://doi.org/10.1117/12.560712
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

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.

Citation Download Citation

Richard J. Nelson "Imager to spectrometer: extracting spectral data from the two-dimensional array", Proc. SPIE 5563, Infrared Systems and Photoelectronic Technology, (21 October 2004); https://doi.org/10.1117/12.560712

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available