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Proceedings Paper

Designing manufacturable filters for a 16-band plenoptic camera using differential evolution
Author(s): Timothy Doster; Colin C. Olson; Erin Fleet; Michael Yetzbacher; Andrey Kanaev; Paul Lebow; Robert Leathers
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Paper Abstract

A 16-band plenoptic camera allows for the rapid exchange of filter sets via a 4x4 filter array on the lens's front aperture. This ability to change out filters allows for an operator to quickly adapt to different locales or threat intelligence. Typically, such a system incorporates a default set of 16 equally spaced at-topped filters. Knowing the operating theater or the likely targets of interest it becomes advantageous to tune the filters. We propose using a modified beta distribution to parameterize the different possible filters and differential evolution (DE) to search over the space of possible filter designs. The modified beta distribution allows us to jointly optimize the width, taper and wavelength center of each single- or multi-pass filter in the set over a number of evolutionary steps. Further, by constraining the function parameters we can develop solutions which are not just theoretical but manufacturable. We examine two independent tasks: general spectral sensing and target detection. In the general spectral sensing task we utilize the theory of compressive sensing (CS) and find filters that generate codings which minimize the CS reconstruction error based on a fixed spectral dictionary of endmembers. For the target detection task and a set of known targets, we train the filters to optimize the separation of the background and target signature. We compare our results to the default 16 at-topped non-overlapping filter set which comes with the plenoptic camera and full hyperspectral resolution data which was previously acquired.

Paper Details

Date Published: 5 May 2017
PDF: 14 pages
Proc. SPIE 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, 1019803 (5 May 2017); doi: 10.1117/12.2262574
Show Author Affiliations
Timothy Doster, U.S. Naval Research Lab. (United States)
Colin C. Olson, U.S. Naval Research Lab. (United States)
Erin Fleet, U.S. Naval Research Lab. (United States)
Michael Yetzbacher, U.S. Naval Research Lab. (United States)
Andrey Kanaev, U.S. Naval Research Lab. (United States)
Paul Lebow, U.S. Naval Research Lab. (United States)
Robert Leathers, U.S. Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 10198:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
Miguel Velez-Reyes; David W. Messinger, Editor(s)

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