@inproceedings{2cf4d688e52742ca9aeb9f4a7c36fadf,
title = "Reconstructing temperature field images by MWIR and LWIR based on uncooled IRFPA",
abstract = "With the development of high-performance IRFPA, temperature field image measurement has been applied to the fields of industry and agriculture, national defence, health and epidemic prevention. In order to obtain a clearer and more accurate image of temperature field, we developed a coaxial beam splitting medium wave/long wave dual-band infrared temperature field image reconstruction experimental system using uncooled wide-band IRFPA. Then, a low frequency noise correction method in gradient domain is used to reduce the temperature measurement error caused by the non-uniformity of detectors. The temperature measurement error of central field of view is less than 3.5% and that of quadrangular field of view is less than 4.5% in the temperature range of 20~80oC by calibrating the temperature of the system using blackbody. Experimental results show that the method is effective. Finally, the equivalent temperature field image to the typical outfield image is given.",
keywords = "LW infrared, MW infrared, Non-uniformity correction, Temperature image reconstruction, Uncooled IRFPA",
author = "Jiahong Li and Zhihao Liu and Mozhou Sha and Weiqi Jin and Hong Guo and Li Li and Qin Guo",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 2021 International Conference on Laser, Optics and Optoelectronic Technology, LOPET 2021 ; Conference date: 28-05-2021 Through 30-05-2021",
year = "2021",
doi = "10.1117/12.2602361",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Changsi Peng and Fengjie Cen",
booktitle = "International Conference on Laser, Optics and Optoelectronic Technology, LOPET 2021",
address = "United States",
}