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Article

Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference

1
Department of Electronics Design, Mid Sweden University, 851 70 Sundsvall, Sweden
2
Department of Computer Science and Software Engineering, Concordia University, Montreal, QC H3G 1M8, Canada
3
Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden
*
Author to whom correspondence should be addressed.
Academic Editor: Jiayi Ma
Sensors 2021, 21(11), 3738; https://doi.org/10.3390/s21113738
Received: 21 April 2021 / Revised: 21 May 2021 / Accepted: 25 May 2021 / Published: 27 May 2021
(This article belongs to the Section Sensing and Imaging)
In this paper, we present a hyper-spectral imaging system and practical calibration procedure using a low-cost calibration reference made of polytetrafluoroethylene. The imaging system includes a hyperspectral camera and an active source of illumination with a variable spectral distribution of intensity. The calibration reference is used to measure the relative reflectance of any material surface independent of the spectral distribution of light and camera sensitivity. Winter road conditions are taken as a test application, and several spectral images of snow, icy asphalt, dry asphalt, and wet asphalt were made at different exposure times using different illumination spectra. Graphs showing measured relative reflectance for different road conditions support the conclusion that measurements are independent of illumination. Principal component analysis of the acquired spectral data for road conditions shows well separated data clusters, demonstrating the system’s suitability for material classification. View Full-Text
Keywords: hyperspectral imaging; push-broom camera; winter road conditions; calibration; teflon; spectralon; PTFE; dark current; InGaAs hyperspectral imaging; push-broom camera; winter road conditions; calibration; teflon; spectralon; PTFE; dark current; InGaAs
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MDPI and ACS Style

Shaikh, M.S.; Jaferzadeh, K.; Thörnberg, B.; Casselgren, J. Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference. Sensors 2021, 21, 3738. https://doi.org/10.3390/s21113738

AMA Style

Shaikh MS, Jaferzadeh K, Thörnberg B, Casselgren J. Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference. Sensors. 2021; 21(11):3738. https://doi.org/10.3390/s21113738

Chicago/Turabian Style

Shaikh, Muhammad S., Keyvan Jaferzadeh, Benny Thörnberg, and Johan Casselgren. 2021. "Calibration of a Hyper-Spectral Imaging System Using a Low-Cost Reference" Sensors 21, no. 11: 3738. https://doi.org/10.3390/s21113738

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