Differential tilt variance effects of turbulence in imagery: comparing simulation with theory

Daniel A. LeMaster; Russell C. Hardie; Szymon Gladysz; Matthew D. Howard; Michael A. Rucci; Matthew E. Trippel; Jonathan D. Power; Barry K. Karch

doi:10.1117/12.2223470

18 May 2016 Differential tilt variance effects of turbulence in imagery: comparing simulation with theory

Daniel A. LeMaster, Russell C. Hardie, Szymon Gladysz, Matthew D. Howard, Michael A. Rucci, Matthew E. Trippel, Jonathan D. Power, Barry K. Karch

Author Affiliations +

Proceedings Volume 9846, Long-Range Imaging; 984606 (2016) https://doi.org/10.1117/12.2223470
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Differential tilt variance is a useful metric for interpreting the distorting effects of turbulence in incoherent imaging systems. In this paper, we compare the theoretical model of differential tilt variance to simulations. Simulation is based on a Monte Carlo wave optics approach with split step propagation. Results show that the simulation closely matches theory. The results also show that care must be taken when selecting a method to estimate tilts.

Citation Download Citation

Daniel A. LeMaster, Russell C. Hardie, Szymon Gladysz, Matthew D. Howard, Michael A. Rucci, Matthew E. Trippel, Jonathan D. Power, and Barry K. Karch "Differential tilt variance effects of turbulence in imagery: comparing simulation with theory", Proc. SPIE 9846, Long-Range Imaging, 984606 (18 May 2016); https://doi.org/10.1117/12.2223470

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