Bykov Alexey, Zolotukhina Anastasia, Poliakov Mikhail, Belykh Andrey, Asyutin Roman, Korneeva Anastasiia, Batshev Vladislav, Khokhlov Demid
Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia.
National Research University "Moscow Power Engineering Institute", 14-1 Krasnokazarmennaya, 111250 Moscow, Russia.
J Imaging. 2025 May 27;11(6):176. doi: 10.3390/jimaging11060176.
Multispectral imaging technology holds significant promise in the field of thermal imaging applications, primarily due to its unique ability to provide comprehensive two-dimensional spectral data distributions without the need for any form of scanning. This paper focuses on the development of an accessible basic design concept and a method for estimating temperature maps using a four-channel spectral imaging system. The research examines key design considerations and establishes a workflow for data correction and processing. It involves preliminary camera calibration procedures, which are essential for accurately assessing and compensating for the characteristic properties of optical elements and image sensors. The developed method is validated through testing using a blackbody source, demonstrating a mean relative temperature error of 1%. Practical application of the method is demonstrated through temperature mapping of a tungsten lamp filament. Experiments demonstrated the capability of the developed multispectral camera to detect and visualize non-uniform temperature distributions and localized temperature deviations with sufficient spatial resolution.
多光谱成像技术在热成像应用领域具有巨大潜力，主要是因为它具有独特能力，无需任何形式的扫描就能提供全面的二维光谱数据分布。本文重点在于开发一种易于实现的基本设计概念以及一种使用四通道光谱成像系统估算温度图的方法。该研究考察了关键设计考量因素，并建立了数据校正和处理的工作流程。它涉及初步的相机校准程序，这对于准确评估和补偿光学元件及图像传感器的特性至关重要。所开发的方法通过使用黑体源进行测试得到验证，显示出平均相对温度误差为1%。通过对钨丝灯灯丝进行温度测绘展示了该方法的实际应用。实验证明，所开发的多光谱相机能够以足够的空间分辨率检测和可视化不均匀温度分布以及局部温度偏差。
