We present a novel multispectral imaging system that measures temperature without knowledge of emissivity. It combines support vector machine regression with low cost PbSe imagers, sensitive in the MWIR range and capable to achieve very high speed acquisition rates with a medium resolution. The system is modular and builds on two or more apertures sensitive to different but close spectral bands. Inspired by the approach adopted by ratio and multi wavelength pyrometers, we estimate temperature from the combined response at these bands. However, we adopt a flexible and transparent approach to modeling multiple regression based on machine learning and using synthetic datasets. We demonstrate high accuracy and robustness against variations in the value of emissivity. Besides a working prototype, our contribution renders a simple procedure for the design of cost effective thermographic systems for field applications demanding reliable measurements in unconstrained conditions.
Álvaro Souto-López, Antón Garcia-Diaz, and Roi Méndez-Rial, "Temperature imaging in the MWIR range independent of emissivity," Proc. SPIE 10680, Optical Sensing and Detection V, 1068005 (Presented at SPIE Photonics Europe: April 23, 2018; Published: 9 May 2018); https://doi.org/10.1117/12.2306839.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 14,000 conference presentations, including many plenary and keynote presentations.
Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon