Snapshot spectral imaging using Solc-based multivariate optical filters and pixelated polarization cameras

Michael W. Kudenov; Ali Altaqui; Cranos Williams

doi:10.1117/12.2596580

1 August 2021 Snapshot spectral imaging using Solc-based multivariate optical filters and pixelated polarization cameras

Michael W. Kudenov, Ali Altaqui, Cranos Williams

Author Affiliations +

Proceedings Volume 11833, Polarization Science and Remote Sensing X; 1183309 (2021) https://doi.org/10.1117/12.2596580
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Despite recent advances, customized multispectral cameras can be challenging or costly to deploy in some use cases. Complexities span electronic synchronization, multi-camera calibration, parallax and spatial coregistration, and data acquisition from multiple cameras, all of which can hamper their ease of use. This paper discusses a generalized procedure for multispectral sensing using a pixelated polarization camera and Solc stages to create multivariate optical filters. We then describe some preliminary experimental results of a fabricated filtered camera system. Finally, classification of the imagery is achieved using either shallow or deep neural networks. We also discuss the potential of using a color red, green, and blue microgrid polarization camera to detect upwards of 12 spectral channels using readily available standard off-the-shelf components.

Conference Presentation

Citation Download Citation

Michael W. Kudenov, Ali Altaqui, and Cranos Williams "Snapshot spectral imaging using Solc-based multivariate optical filters and pixelated polarization cameras", Proc. SPIE 11833, Polarization Science and Remote Sensing X, 1183309 (1 August 2021); https://doi.org/10.1117/12.2596580

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