Share Email Print
cover

Proceedings Paper • new

Figures of merit for the optical performance of Fresnel zone light field spectral imagers (Conference Presentation)
Author(s): Anthony L. Franz; Jack A. Shepherd; Carlos D. Diaz

Paper Abstract

Recently a novel Fresnel zone light field spectral imager was developed that provides snapshot spectral imaging using no moving parts or scanning. This system combines a Fresnel zone plate as the primary optic to conduct both imaging and dispersion with a microlens array configured like a plenoptic camera. This encodes spectral information onto the detector array like a traditional plenoptic camera encodes range information, and both systems require post-processing to produce final images. While algorithms will significantly affect final performance, the ability to judge the optical performance of a particular hardware design before post processing is important to set a base line for algorithm comparisons as well as establish how components in the imaging chain impact performance. For remote sensing scenarios we propose a figure of merit based on shifts of the images formed by each microlens of a point source and derive design equations linking this to system parameters. This talk examines how the Fresnel zone plate and microlenses affect the blur of the point source images and how the sampling of the images by the detector array impacts the figure of merit. For remote sensing scenarios an image shift corresponded to a particular source wavelength. The sampling by the detector array added uncertainty to image shift measurements providing a measure of the spectral resolution due to the hardware. The image shift figure of merit describes how spectral information is encoded in the raw data by the hardware and can be used to estimate performance prior to post-processing.

Paper Details

Date Published: 14 May 2018
PDF
Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 106440M (14 May 2018); doi: 10.1117/12.2303897
Show Author Affiliations
Anthony L. Franz, Air Force Institute of Technology (United States)
Jack A. Shepherd, Air Force Institute of Technology (United States)
Carlos D. Diaz, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10644:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
Miguel Velez-Reyes; David W. Messinger, Editor(s)

© SPIE. Terms of Use
Back to Top