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Proceedings Paper

Scanning infrared remote sensing system for identification, visualization, and quantification of airborne pollutants
Author(s): Roland Harig; Gerhard Matz; Peter Rusch
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Paper Abstract

Remote sensing by Fourier-transform infrared (FTIR) spectrometry allows detection, identification, and quantification of airborne pollutants. In the case of leaks in pipelines or leaks in chemical plants, chemical accidents, terrorism, or war, hazardous compounds are often released into the atmosphere. Various Fourier-transform infrared spectrometers have been developed for the remote detection and identification of hazardous clouds. However, for the localization of a leak and a complete assessment of the situation in the case of the release of a hazardous cloud, information about the position and the size of a cloud is essential. Therefore, an imaging passive remote sensing system comprised of an interferometer (Bruker OPAG 22), a data acquisition, processing, and control system with a digital signal processor (FTIR DSP), an azimuth-elevation-scanning mirror, a video system with a DSP, and a personal computer has been developed. The FTIR DSP system controls the scanning mirror, collects the interferograms, and performs the Fourier transformation. The spectra are transferred to a personal computer and analyzed by a real-time identification algorithm that does not require background spectra for the analysis. The results are visualized by a video image, overlaid by false color images. For each target compound of a spectral library, images of the coefficient of correlation, the signal to noise ratio, the brightness temperature of the background, the difference between the temperature of the ambient air and the brightness temperature of the background, and the noise equivalent column density are produced. The column densities of all directions in which a target compound has been identified may be retrieved by a nonlinear least squares fitting algorithm and an additional false color image is displayed. The system has a high selectivity, low noise equivalent spectral radiance, and it allows identification, visualization, and quantification of pollutant clouds.

Paper Details

Date Published: 7 February 2002
PDF: 12 pages
Proc. SPIE 4574, Instrumentation for Air Pollution and Global Atmospheric Monitoring, (7 February 2002); doi: 10.1117/12.455146
Show Author Affiliations
Roland Harig, Technische Univ. Hamburg-Harburg (Germany)
Gerhard Matz, Technische Univ. Hamburg-Harburg (Germany)
Peter Rusch, Technische Univ. Hamburg-Harburg (Germany)


Published in SPIE Proceedings Vol. 4574:
Instrumentation for Air Pollution and Global Atmospheric Monitoring
James O. Jensen; Robert L. Spellicy, Editor(s)

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