Comparison between the "grey body emissivity" and "Bayesian inference" methods to retrieve temperature and emissivity from FTIR spectroradiometer measurements

A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials

“…Temperature Emissivity Separation (TES) methods aim to simultaneously estimate sample temperature and emissivity. Given the inherently under-constrained nature of the problem, most of them tackle the task by imposing certain strong priors on the proposed models [21]- [27]. A few others claim to avoid making such heavy assumptions by instead imposing a maximization of the entropy [28]- [30], although still require to explictly select the temperature and emissivity ranges within which the solution is expected to be.…”

“…Besides, in practice, these solutions are often tied in some way to the specific use case for which they were conceived. Many of the aforementioned approaches were indeed proposed and tested in the context of remote sensing applications, and thus operate under a very constrained range of plausible temperature values [21], [28].…”