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Snapshot hyperspectral imaging Fourier transform spectropolarimeter
Author(s): E. J. Youngs; M. W. Kudenov
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Paper Abstract

The design and experimental results of a snapshot spatially heterodyned imaging Fourier transform (SHIFT) spectropolarimeter are presented. The sensor utilizes common-path interferometry, which lends improved compactness and ruggedness over free-space interferometric techniques. The polarization-dependency of the optical instrument can also be leveraged to obtain both spectral and polarimetric measurements. In this paper, calibration procedures and the SHIFT data processing algorithms are described. A data-reduction matrix is utilized to transform the measured per-pixel interferograms into corresponding Stokes parameters. Using this matrix, neural networks are trained to automate the transformation process from measurement to Stokes parameters. Finally, preliminary experimental results of the SHIFT’s ability to distinguish certain spectral signatures are demonstrated.

Paper Details

Date Published: 7 September 2017
PDF: 7 pages
Proc. SPIE 10407, Polarization Science and Remote Sensing VIII, 1040704 (7 September 2017); doi: 10.1117/12.2273866
Show Author Affiliations
E. J. Youngs, North Carolina State Univ. (United States)
M. W. Kudenov, North Carolina State Univ. (United States)


Published in SPIE Proceedings Vol. 10407:
Polarization Science and Remote Sensing VIII
Joseph A. Shaw; Frans Snik, Editor(s)

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Snapshot-hyperspectral-imaging-Fourier-transform-spectropolarimeter



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