Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation
Abstract
Atmospheric optical turbulence can be a significant source of image degradation, particularly in long range imaging applications. Many turbulence mitigation algorithms rely on an optical transfer function (OTF) model that includes the Fried parameter. We present anisoplanatic tilt statistics for spherical wave propagation. We transform these into 2D autocorrelation functions that can inform turbulence modeling and mitigation algorithms. Using these, we construct an OTF model that accounts for image registration. We also propose a spectral-ratio Fried parameter estimation algorithm that is robust to camera motion and requires no specialized scene content or sources. We employ the Fried parameter estimation and OTF model for turbulence mitigation. A numerical wave-propagation turbulence simulator is used to generate data to quantitatively validate the proposed methods. Results with real camera data are also presented.
Keywords
Cite
@article{arxiv.2108.00528,
title = {Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation},
author = {Russell C. Hardie and Michael A. Rucci and Santasri Bose-Pillai and Richard Van Hook},
journal= {arXiv preprint arXiv:2108.00528},
year = {2021}
}
Comments
32 pages, 23 figures, Copyright 2021 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. https://doi.org/10.1364/AO.418458