Automated identification of infrared spectra of hazardous clouds by passive FTIR remote sensing

Abstract

Fourier-transform infrared spectroscopy is an efficient technique for the detection and quantification of molecules in gas mixtures. A passive infrared system was used to detect specific hazardous clouds in the atmosphere and sound an alarm in time. The Fourier transform infrared spectrometer is operated in the 8-12 μm atmosphere window region of the spectrum. A spectral identified system of hazardous clouds is based on neural network. The network is trained by the use of the backward-error-propagation algorithm. The identical results of the target spectra from the open-air have demonstrated that the detection-integrated system may be used to detect and identify the infrared spectra of hazardous clouds.