Rugged early-warning spectroscopic system for real-time environment water monitoring

Bo Ling; Michael I. Zeifman; Jannias Hu

doi:10.1117/12.689818

13 October 2006 A rugged early-warning spectroscopic system for real-time environment water monitoring

Bo Ling, Michael I. Zeifman, Jannias Hu

Proceedings Volume 6398, Optically Based Biological and Chemical Detection for Defence III; 639808 (2006) https://doi.org/10.1117/12.689818
Event: Optics/Photonics in Security and Defence, 2006, Stockholm, Sweden

Abstract

The absorption spectra of BWA/CWA often heavily overlap with each other and with absorption spectra of harmless species. The traditional approach of spectral discrimination usually involves estimation of concentration of each constituent, wherein the first- and second derivatives are being used as the spectrum features and the linear relationship between these features and the concentrations is sought by, e.g., the partial least squares or principal component regression. These algorithms may not be suitable for real-time early warning detection of BWA/CWA in the gaseous/liquid environments, especially taking into account the inevitable presence of environmental constituents with unknown spectra. In this paper, we present a new approach suitable for ragged, real-time spectral discrimination. In this approach, we are using an independent component analysis (ICA) technique to unmix the mixture spectra into independent spectral components. In order to classify the components, we have developed a special feature extraction algorithm based on a complex wavelet transform. We have tested the procedure experimentally using a ragged fiber-optics spectrometer working in the NIR region (800 - 1000 nm), and mixtures of organic liquids. The obtained results clearly demonstrate the applicability of the proposed system to the early warning "trigger"-type detection suitable for real-time environmental monitoring.

Citation Download Citation

Bo Ling, Michael I. Zeifman, and Jannias Hu "A rugged early-warning spectroscopic system for real-time environment water monitoring", Proc. SPIE 6398, Optically Based Biological and Chemical Detection for Defence III, 639808 (13 October 2006); https://doi.org/10.1117/12.689818

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