LWIR thermal imaging through dust obscuration

Forrest A. Smith; Eddie L. Jacobs; Srikant Chari; Jason Brooks

doi:10.1117/12.884351

9 May 2011 LWIR thermal imaging through dust obscuration

Forrest A. Smith, Eddie L. Jacobs, Srikant Chari, Jason Brooks

Proceedings Volume 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII; 80140G (2011) https://doi.org/10.1117/12.884351
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Forrest A. Smith, Eddie L. Jacobs, Srikant Chari, and Jason Brooks "LWIR thermal imaging through dust obscuration", Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140G (9 May 2011); https://doi.org/10.1117/12.884351

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