A VIS-NIR hyperspectral video imager

Steve Chappell; Robin Wang; Sam Hornett; Alex Spanellis

doi:10.1117/12.3001540

12 March 2024 A VIS-NIR hyperspectral video imager

Steve Chappell, Robin Wang, Sam Hornett, Alex Spanellis

Proceedings Volume PC12893, Photonic Instrumentation Engineering XI; PC1289307 (2024) https://doi.org/10.1117/12.3001540
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

We present a novel computational camera with high spatial, spectral, and temporal resolution as a practical tool for real-world applications in VIS-NIR hyperspectral (HSI) video imaging. Hyperspectral images contain orders of magnitude more information than colour (RGB) images and promise to reveal new insights in many application domains. However, widespread adoption of HSI has been hindered by the performance limitations of imaging equipment, complexity of application development and costs of deployment. We report on a compressed sensing approach using a variation of coded aperture snapshot spectral imaging (CASSI) with low aberration dispersive optics to capture the multiplexed projection of spatial-spectral scene information on standard CMOS technology. We overcome the typically slow computations associated with CASSI signal reconstruction and report state-of-the-art performance using machine learning methods for signal unmixing at speeds enabling live processing on networked NVIDIA gpu-enabled platforms. Contemporary applications and the motivation for packaging as a computer vision development kit are discussed.

Conference Presentation

Citation Download Citation

Steve Chappell, Robin Wang, Sam Hornett, and Alex Spanellis "A VIS-NIR hyperspectral video imager", Proc. SPIE PC12893, Photonic Instrumentation Engineering XI, PC1289307 (12 March 2024); https://doi.org/10.1117/12.3001540

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