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Proceedings Paper

LWIR thermal imaging through dust obscuration
Author(s): Forrest A. Smith; Eddie L. Jacobs; Srikant Chari; Jason Brooks
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Paper Abstract

The physical model for long wave infrared (LWIR) thermal imaging through a dust obscurant incorporates transmission loss as well as an additive path radiance term, both of which are dependent on an obscurant density along the imaging path. When the obscurant density varies in time and space, the desired signal is degraded by two anti-correlated atmospheric noise components-the transmission (multiplicative) and the path radiance (additive)-which are not accounted for by a single transmission parameter. This research introduces an approach to modeling the performance impact of dust obscurant variations. Effective noise terms are derived for obscurant variations detected by a sensor via a forward radiometric analysis of the imaging context. The noise parameters derived here provide a straightforward approach to predicting imager performance with existing NVESD models such as NVThermIP.

Paper Details

Date Published: 9 May 2011
PDF: 12 pages
Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140G (9 May 2011); doi: 10.1117/12.884351
Show Author Affiliations
Forrest A. Smith, The Univ. of Memphis (United States)
Eddie L. Jacobs, The Univ. of Memphis (United States)
Srikant Chari, The Univ. of Memphis (United States)
Jason Brooks, The Univ. of Memphis (United States)

Published in SPIE Proceedings Vol. 8014:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII
Gerald C. Holst; Keith A. Krapels, Editor(s)

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