Two-dimensional imaging of gas temperature and concentration based on hyperspectral tomography

Ming-yuan Xin; Xing Jin; Guang-yu Wang; Junling Song

doi:10.1117/12.2245407

19 October 2016 Two-dimensional imaging of gas temperature and concentration based on hyperspectral tomography

Ming-yuan Xin, Xing Jin, Guang-yu Wang, Junling Song

Proceedings Volume 10155, Optical Measurement Technology and Instrumentation; 1015510 (2016) https://doi.org/10.1117/12.2245407
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

Two-dimensional imaging of gas temperature and concentration is realized by hyperspectral tomography, which has the characteristics of using multi-wavelengths absorption spectral information, so that the imaging could be accomplished in a small number of projections and viewing angles. A temperature and concentration model is established to simulate the combustion conditions and a total number of 10 near-infrared absorption spectral information of H₂O is used. An improved simulated annealing algorithm by adjusting search step is performed the main search algorithm for the tomography. By adding random errors into the absorption area information, the stability of the algorithm is tested, and the results are compared with the reconstructions provided by algebraic reconstruction technique which takes advantage of 2 spectral information contents in imaging. The results show that the two methods perform equivalent in low-level noise environment, but at high-level, hyperspectral tomography turns out to be more stable.

Citation Download Citation

Ming-yuan Xin, Xing Jin, Guang-yu Wang, and Junling Song "Two-dimensional imaging of gas temperature and concentration based on hyperspectral tomography", Proc. SPIE 10155, Optical Measurement Technology and Instrumentation, 1015510 (19 October 2016); https://doi.org/10.1117/12.2245407

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