Paper
5 May 2015 Determination of plume temperature distribution based on the ratios of the radiation intensities of multiple CO2 lines
S. Cięszczyk
Author Affiliations +
Abstract
New inversion scheme for gas temperature distribution retrieval utilized CO2 spectrum between 2350 cm-1 and 2400 cm-1 is proposed. Inversion model is build base on neural networks. Considered spectral remote sensing method is commonly used for industrial and environmental monitoring. It is a passive single-ended sensor technique in which radiation intensity emerging from a studied object is analyzed. Quantitative investigation of heated gas radiation emission to determine temperature and gas mixture by infrared spectroscopy requires two components apart from optical radiation sensor. First appropriate spectral database and second efficient inversion techniques. In this study calculation of one-dimensional radiative transfer equation have been used for simulation of spectral radiation intensity. To increase quality of retrieval a spectrum preprocessing and feature extraction method is applied. Simulated spectra were parameterized and expressed as ratios of intensities of multiple rotational lines. Each neural network estimates temperature (NN response) at one point on studied path basing on given spectrum (NN input).
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Cięszczyk "Determination of plume temperature distribution based on the ratios of the radiation intensities of multiple CO2 lines", Proc. SPIE 9506, Optical Sensors 2015, 950623 (5 May 2015); https://doi.org/10.1117/12.2178835
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Cited by 2 scholarly publications.
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KEYWORDS
Neural networks

Carbon dioxide

Data modeling

Mathematical modeling

Neurons

Error analysis

Sensors

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