Mr. Paulus Saari Profile

Paulus Saari

at Specim Spectral Imaging Ltd

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Proceedings Article | 13 June 2023 Presentation + Paper

Selection of optimal performance parameters in industrial hyperspectral camera design

H. Holma, P. Saari, T. Kolehmainen

Proceedings Volume 12519, 1251902 (2023) https://doi.org/10.1117/12.2663795

KEYWORDS: Cameras, Design and modelling, Hyperspectral imaging, Imaging systems, Equipment, Spectral resolution, Signal to noise ratio, Spectral imaging cameras, Quantum efficiency

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Hyperspectral imaging is not only a very special type of imaging, but also a special type of spectroscopy. What is more, there are many different architectures of hyperspectral imagers. While this paper concentrates on push-broom architecture only, there are still several parameters for which a hyperspectral camera may be optimized in design. This optimization means that the best fitting use cases are in fact chosen simultaneously with the design decisions. It is not always self-evident how hyperspectral camera parameters affect the measured data and its interpretation. Hyperspectral cameras consist essentially of two separate optical parts and a camera. Each of those parts processes the information originating from the target. The selection of the optimization parameters is based on camera design principles, which may differ significantly from one manufacturer to another, or one instrument to another. Comparing these instruments is not easy, but it is often also unnecessary as not all the parameters are equally important in every practical use case. When a user chooses a hyperspectral camera, they should study the specifications of the performance parameters with the intended application in mind. Highlighting one of the parameters in the design results in a loss of performance in another. These parameter pairs include spectral sampling vs. light collection efficiency, number of pixels vs. frame rate, and optical sharpness vs. sampling artifacts in the image.

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