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Proceedings Paper

Signal modeling of turbulence-distorted imagery
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Paper Abstract

Understanding turbulence effects on wave propagation and imaging systems has been an active research area for more than 50 years. Conventional atmospheric optics methods use statistical models to analyze image degradation effects that are caused by turbulence. In this paper, we intend to understand atmospheric turbulence effects using a deterministic signal processing and imaging theory point of view and modeling. The model simulates the formed imagery by a lens by tracing the optical rays from the target through a band of turbulence. We examine the nature of the turbulence-degraded image, and identify its characteristics as the parameters of the band of turbulence, e.g., its width, angle, and index of refraction, are varied. Image degradation effects due to turbulence, such as image blurring and image dancing, are revealed by this signal modeling. We show that in fact these phenomena can be related not only to phase errors in the frequency domain of the image but also a 2D modulation effect in the image spectrum. Results with simulated and realistic data are provided.

Paper Details

Date Published: 22 April 2009
PDF: 13 pages
Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000P (22 April 2009); doi: 10.1117/12.818833
Show Author Affiliations
S. Susan Young, Army Research Lab. (United States)
Ronald G. Driggers, Naval Research Lab. (United States)
Keith Krapels, U.S. Army RDECOM CERDEC NVESD (United States)
Richard L. Espinola, U.S. Army RDECOM CERDEC NVESD (United States)
Joseph P. Reynolds, U.S. Army RDECOM CERDEC NVESD (United States)
Jae Cha, U.S. Army RDECOM CERDEC NVESD (United States)


Published in SPIE Proceedings Vol. 7300:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX
Gerald C. Holst, Editor(s)

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