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Optics Express

Optics Express

  • Editor: Michael Duncan
  • Vol. 11, Iss. 5 — Mar. 10, 2003
  • pp: 418–429

Remote detection of biological aerosols at a distance of 3 km with a passive Fourier transform infrared (FTIR) sensor

Avishai Ben-David  »View Author Affiliations


Optics Express, Vol. 11, Issue 5, pp. 418-429 (2003)
http://dx.doi.org/10.1364/OE.11.000418


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Abstract

Bio-aerosols containing Bacillus subtilis var. niger (BG) were detected at a distance of 3 km with a passive Fourier Transform InfraRed (FTIR) spectrometer in an open-air environment where the thermal contrast was low (~ 1 K). The measurements were analyzed with a new hyperspectral detection, identification and estimation algorithm based on radiative transfer theory and advanced signal processing techniques that statistically subtract the undesired background spectra. The results are encouraging as they suggest for the first time the feasibility of detecting biological aerosols with passive FTIR sensors. The number of detection events was small but statistically significant. We estimate the false alarm rate for this experiment to be 0.0095 and the probability of detection to be 0.61 when a threshold of detection that minimizes the sum of the probabilities of false alarm and of missed detection is chosen.

© 2003 Optical Society of America

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(010.1300) Atmospheric and oceanic optics : Atmospheric propagation
(070.4790) Fourier optics and signal processing : Spectrum analysis
(280.0280) Remote sensing and sensors : Remote sensing and sensors
(280.1100) Remote sensing and sensors : Aerosol detection
(290.1090) Scattering : Aerosol and cloud effects
(300.6300) Spectroscopy : Spectroscopy, Fourier transforms

ToC Category:
Research Papers

History
Original Manuscript: January 27, 2003
Revised Manuscript: February 24, 2003
Published: March 10, 2003

Citation
Avishai Ben-David, "Remote detection of biological aerosols at a distance of 3 km with a passive Fourier transform infrared (FTIR) sensor," Opt. Express 11, 418-429 (2003)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-11-5-418


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References

  1. P. L. Hanst and S. T. Hanst, �??Gas measurement in the fundamental infrared region,�?? in Air monitoring by spectroscopic techniques, M. W. Sigrist, ed. (Wiley, New-York, NY, 1994).
  2. D. W. T. Griffith and I. M. Jamie, �??Fourier transform infrared spectrometry in atmospheric and trace gas analysis,�?? in Encyclopedia of analytical chemistry, R. A. Meyers, ed. (Wiley, Chichester, England, 2000).
  3. D. A. Ligon, A. E. Wetmore, and P. S. Gillespie, �??Simulation of the passive infrared spectral signatures of bio-aerosol and natural fog clouds immersed in the background atmosphere,�?? Opt. Express, 10, 909-919, (2002), <a href="http://www.opticsexpress.org/abstract.cfm?URI=OPEX-10-18-909">http://www.opticsexpress.org/abstract.cfm?URI=OPEX-10-18-909</a> [CrossRef] [PubMed]
  4. E. R. Schildkraut, R. Connors and A. Ben-David, �??Initial test results from ultra-high sensitivity passive FTIR instrumentation (HISPEC)�??, Proceedings of the International Symposium on Spectral Sensing Research, (ISSSR) 2001, (Science and Technology Corp. Hampton, VA, 2001), pp. 365-374.
  5. A. Ben-David , and A. Ifarraguerri, �??Computation of a spectrum from a single-beam Fourier-transform infrared interferogram,�?? Appl. Opt. 41, 1181-1189 (2002). [CrossRef] [PubMed]
  6. A. Ben-David and H. Ren, �??Detection, identification and estimation of aerosols and vapors with Fourier transform infrared spectrometer,�?? to be published in Appl. Opt. (2003). [CrossRef] [PubMed]
  7. C. M. Bishop, Neural Networks for Pattern Recognition, (Ch. 2, Oxford University Press, Oxford, New York, 1995).

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