Paper
26 November 1996 Discrimination of vapors based on direct comparison of passive Fourier transform infrared interferograms
Author Affiliations +
Abstract
A real-time compound identification system for Fourier Transform Infrared Spectroscopy data has been based on the direct comparison of interferograms. Statistical pattern- recognition methods are applied to the feature extraction of infrared interferograms. Using large training sets, a real- time classification filter has been developed that is able to discriminate the specific-compound of infrared interferograms, and it has a very high probability. Our system can be used to identify several specific-compounds (several chemical vapors) of infrared interferograms of remote detection.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Zhang and Yulong Xun "Discrimination of vapors based on direct comparison of passive Fourier transform infrared interferograms", Proc. SPIE 2835, Advanced Technologies for Environmental Monitoring and Remediation, (26 November 1996); https://doi.org/10.1117/12.259778
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
FT-IR spectroscopy

Infrared radiation

Signal processing

System identification

Detection and tracking algorithms

Feature extraction

Pattern recognition

Back to Top