Paper Info
Title
Simulating Anisoplanatic Turbulence by Sampling Correlated Zernike Coefficients
Abstract
Simulating atmospheric turbulence is an essential task for evaluating turbulence mitigation algorithms and training learning-based methods. Advanced numerical simulators for atmospheric turbulence are available, but they require sophisticated wave propagations which are computationally very expensive. In this paper, we present a propagation-free method for simulating imaging through anisoplanatic atmospheric turbulence. The key innovation that enables this work is a new method to draw spatially correlated tilts and high-order abberations in the Zernike space. By establishing the equivalence between the angle-of-arrival correlation by Basu, McCrae and Fiorino (2015) and the multi-aperture correlation by Chanan (1992), we show that the Zernike coefficients can be drawn according to a covariance matrix defining the spatial correlations. We propose fast and scalable sampling strategies to draw these samples. The new method allows us to compress the wave propagation problem into a sampling problem, hence making the new simulator significantly faster than existing ones. Experimental results show that the simulator has an excellent match with the theory and real turbulence data.
Year
DOI
Venue
2020
10.1109/ICCP48838.2020.9105270
2020 IEEE International Conference on Computational Photography (ICCP)
Keywords
DocType
ISSN
Atmospheric turbulence,simulator,anisoplanatism,Zernike polynomials,spatially varying blur
Conference
2164-9774
ISBN
Citations 
PageRank 
978-1-7281-5231-8
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Nicholas Chimitt100.34
Stanley H. Chan240330.95