Presentation + Paper
7 September 2017 Snapshot hyperspectral imaging Fourier transform spectropolarimeter
E. J. Youngs, M. W. Kudenov
Author Affiliations +
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.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. J. Youngs and M. W. Kudenov "Snapshot hyperspectral imaging Fourier transform spectropolarimeter", Proc. SPIE 10407, Polarization Science and Remote Sensing VIII, 1040704 (7 September 2017); https://doi.org/10.1117/12.2273866
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KEYWORDS
Polarization

Prisms

Sensors

Neural networks

Polarimetry

Image registration

Interferometers

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