NDLI: Fast Quantification of Air Pollutants by Mid-Infrared Hyperspectral Imaging and Principal Component Analysis

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Fast Quantification of Air Pollutants by Mid-Infrared Hyperspectral Imaging and Principal Component Analysis

Content Provider	MDPI
Author	Juan, Meléndez Guarnizo, Guillermo
Copyright Year	2021
Description	An imaging Fourier-transform spectrometer in the mid-infrared (1850–6667 cm $-1$ ) has been used to acquire transmittance spectra at a resolution of 1 cm $-1$ of three atmospheric pollutants with known column densities (Q): methane (258 ppm·m), nitrous oxide (107.5 ppm·m) and propane (215 ppm·m). Values of Q and T have been retrieved by fitting them with theoretical spectra generated with parameters from the HITRAN database, based on a radiometric model that takes into account gas absorption and emission, and the instrument lineshape function. A principal component analysis (PCA) of experimental data has found that two principal components are enough to reconstruct gas spectra with high fidelity. PCA-processed spectra have better signal-to-noise ratio without loss of spatial resolution, improving the uniformity of retrieval. PCA has been used also to speed up retrieval, by pre-calculating simulated spectra for a range of expected Q and T values, applying PCA to them and then comparing the principal components of experimental spectra with those of the simulated ones to find the gas Q and T values. A reduction in calculation time by a factor larger than one thousand is achieved with improved accuracy. Retrieval can be further simplified by obtaining T and Q as quadratic functions of the two first principal components.
Starting Page	2092
e-ISSN	14248220
DOI	10.3390/s21062092
Journal	Sensors
Issue Number	6
Volume Number	21
Language	English
Publisher	MDPI
Publisher Date	2021-03-17
Access Restriction	Open
Subject Keyword	Sensors Spectroscopy Infrared Imaging Multispectral and Hyperspectral Imaging Air Pollution Monitoring Remote Sensing and Sensors Fourier Transform Image Processing
Content Type	Text
Resource Type	Article

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