Inversion of target spectral emissivity, temperature  by slow variation characteristic of emissivity assumption

Yifei Luan; Xiang Wang; Qiujie Yang

doi:10.1117/12.2627016

27 March 2022 Inversion of target spectral emissivity, temperature by slow variation characteristic of emissivity assumption

Yifei Luan, Xiang Wang, Qiujie Yang

Author Affiliations +

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 12169BO (2022) https://doi.org/10.1117/12.2627016
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Accurate measurement of the emissivity, temperature of distant targets has important applications in the field of infrared remote sensing, aerospace heat-resistant material development, military industry and many other fields.Based on Planck's law, the essence of multispectral radiation thermometry(MRT) is to solve nonlinear equations with more unknowns than equations.In order to solve this problem, a new calculation method based on the slow variation characteristic of emissivity is proposed in this paper to reduce the number of unknowns and simplify the calculation. Based on the theoretical radiation spectrum, this method can be used to calculate the spectral emissivity, temperature and distance under some specific emissivity models.The more steady the variation of spectral emissivity is, the smaller the spectral resolution is, the more accurate this method will be.With the development and improvement of resolution and signal-to-noise ratio of spectrographs, this method will have a broad application prospect.

Citation Download Citation

Yifei Luan, Xiang Wang, and Qiujie Yang "Inversion of target spectral emissivity, temperature by slow variation characteristic of emissivity assumption", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 12169BO (27 March 2022); https://doi.org/10.1117/12.2627016

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