Abstract
A challenge in non-contact temperature measurement of metallic surfaces is the typically unknown and variable emissivity of the object which is needed to accurately estimate temperature. This article discusses a temperature estimation method from data of a multispectral camera without explicitely knowing the spectral emissivity. Two different models of emissivity are discussed. Based on these models and planck’s radiation law, a separable least squares problem results. It may be useful to model the unknown emissivity by an average emissivity. Furthermore, the Cramér-Rao lower bounds for temperature estimation are giveb and verified with measurement data and simulations.
| Translated title of the contribution | Parameter estimation and Cramér-Rao lower bounds in non-contact temperature measurement |
|---|---|
| Original language | German (Austria) |
| Pages (from-to) | 45-56 |
| Number of pages | 12 |
| Journal | tm - Technisches Messen |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Sept 2018 |
Fields of science
- 202012 Electrical measurement technology
- 202021 Industrial electronics
- 202036 Sensor systems
- 102003 Image processing
- 202015 Electronics
- 202016 Electrical engineering
- 202027 Mechatronics
- 202037 Signal processing
- 103021 Optics
JKU Focus areas
- Mechatronics and Information Processing