Analysis of image distortions by atmospheric turbulence and computer simulation of turbulence effects

Endre Repasi; Robert Weiss

doi:10.1117/12.775600

11 April 2008 Analysis of image distortions by atmospheric turbulence and computer simulation of turbulence effects

Endre Repasi, Robert Weiss

Proceedings Volume 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX; 69410S (2008) https://doi.org/10.1117/12.775600
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

The development and implementation of a computer model to simulate the impact of atmospheric turbulence on image quality is presented. The model is based on first- and second-order statistics of atmospheric turbulence. Necessary simulation parameters were derived from data collected by Germany during the NATO-RTG40 White Sands Missile Range field trials of November 2005. The data set consists of image sequences recorded with a high-speed TV camera. Parameter values were derived by analyzing image sequences recorded at weak and strong turbulence conditions. The procedures used to analyze the images and to extract simulation parameters are presented. The FGAN-FOM computer model for turbulence simulation uses static images without turbulence as input and produces image sequences that are degraded by the specified turbulence. Imagers with high frame rates can be simulated. Examples are presented. In order to further assess the accuracy of this heuristics-based and near real-time simulation of turbulence-degraded image sequences, some test cases are compared against the results obtained by a full, physically based simulation of radiation propagation through the turbulent atmosphere. Of special interest are the angle-of-arrival fluctuation statistics, scintillation, and consequences for long exposure resolution.

Citation Download Citation

Endre Repasi and Robert Weiss "Analysis of image distortions by atmospheric turbulence and computer simulation of turbulence effects", Proc. SPIE 6941, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XIX, 69410S (11 April 2008); https://doi.org/10.1117/12.775600

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