Analysis of noise in passive Fourier transform infrared measurements of some representative backgrounds as a function of meteorological conditions

Alan C. Samuels; Dennis Flanigan; Avishai Ben-David

doi:10.1117/12.506499

7 January 2004 Analysis of noise in passive Fourier transform infrared measurements of some representative backgrounds as a function of meteorological conditions

Alan C. Samuels, Dennis Flanigan, Avishai Ben-David

Author Affiliations +

Proceedings Volume 5159, Imaging Spectrometry IX; (2004) https://doi.org/10.1117/12.506499
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Alan C. Samuels, Dennis Flanigan, and Avishai Ben-David "Analysis of noise in passive Fourier transform infrared measurements of some representative backgrounds as a function of meteorological conditions", Proc. SPIE 5159, Imaging Spectrometry IX, (7 January 2004); https://doi.org/10.1117/12.506499

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