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Proceedings Paper

Analysis of noise in passive Fourier transform infrared measurements of some representative backgrounds as a function of meteorological conditions
Author(s): Alan C. Samuels; Dennis Flanigan; Avishai Ben-David
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Paper Abstract

We describe a systematic statistical analysis of the signal measured from three representative targets (grass-covered ground, woodline, and low angle sky) using a passive Fourier transform infrared spectroradiometer operating in the LWIR region (700-1350 wavenumbers/7.4-14 microns). Measurements were acquired under a wide variety of meteorological conditions including rain, snow, fog, and air temperatures. The instrumentation was operated in a temperature-controlled environment to minimize the impact of self-radiance on the measurements, and data were acquired at a variety of spectral resolutions. A standard deviation in radiance metric was developed and compared to the noise-equivalent spectral radiance (NESR) to quantify the statistical variability of the observed radiometric noise, and some assessments of the potential for background variance correction in detection algorithm development are drawn from the results.

Paper Details

Date Published: 7 January 2004
PDF: 9 pages
Proc. SPIE 5159, Imaging Spectrometry IX, (7 January 2004); doi: 10.1117/12.506499
Show Author Affiliations
Alan C. Samuels, U.S. Army Edgewood Chemical Biological Ctr. (United States)
Dennis Flanigan, SymSpec, Inc. (United States)
Avishai Ben-David, U.S. Army Edgewood Chemical Biological Ctr. (United States)

Published in SPIE Proceedings Vol. 5159:
Imaging Spectrometry IX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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