Simulation of extended scenes imaged through turbulence over horizontal paths

Bos, Jeremy P.; Roggeman, Michael C.

doi:10.1117/12.893869

Cited by 5 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, anisoplanatic imaging simulations using numerical wave propagation have only recently been described in the literature. Some of the first such papers include those of Carrano 4 and Praus et al 5 Further wave propagation-based anisoplanatic simulation works include that of Bos and Roggemann,6,7 and Monnier et al 8,9 Anisoplanatic simulations that do not involve wave propagation have also been developed. [10][11][12] The ability to accurately simulate the degradation effects of optical turbulence is important for several reasons.…”

Section: Introductionmentioning

confidence: 99%

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

et al. 2017

View full text Add to dashboard Cite

, "Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis," Opt. Eng. 56(7), 071502 (2017), doi: 10.1117/1.OE.56.7.071502. Abstract. We present a numerical wave propagation method for simulating imaging of an extended scene under anisoplanatic conditions. While isoplanatic simulation is relatively common, few tools are specifically designed for simulating the imaging of extended scenes under anisoplanatic conditions. We provide a complete description of the proposed simulation tool, including the wave propagation method used. Our approach computes an array of point spread functions (PSFs) for a two-dimensional grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. The degradation includes spatially varying warping and blurring. To produce the PSF array, we generate a series of extended phase screens. Simulated point sources are numerically propagated from an array of positions on the object plane, through the phase screens, and ultimately to the focal plane of the simulated camera. Note that the optical path for each PSF will be different, and thus, pass through a different portion of the extended phase screens. These different paths give rise to a spatially varying PSF to produce anisoplanatic effects. We use a method for defining the individual phase screen statistics that we have not seen used in previous anisoplanatic simulations. We also present a validation analysis. In particular, we compare simulated outputs with the theoretical anisoplanatic tilt correlation and a derived differential tilt variance statistic. This is in addition to comparing the long-and short-exposure PSFs and isoplanatic angle. We believe this analysis represents the most thorough validation of an anisoplanatic simulation to date. The current work is also unique that we simulate and validate both constant and varying C 2 n ðzÞ profiles. Furthermore, we simulate sequences with both temporally independent and temporally correlated turbulence effects. Temporal correlation is introduced by generating even larger extended phase screens and translating this block of screens in front of the propagation area. Our validation analysis shows an excellent match between the simulation statistics and the theoretical predictions. Thus, we think this tool can be used effectively to study optical anisoplanatic turbulence and to aid in the development of image restoration methods. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

et al. 2017

View full text Add to dashboard Cite

show abstract

“…To provide a baseline for understanding the performance of these methods the MSE statistics were collected for each data set and analyzed. The MSE in intensity value per pixel was calculated for each frame by first centering the frame on the diffraction-limited reference log-normal distribution has also been fitted to each distribution having been found to provide the best fit to the errors frequency in each distribution [27]. It is oberved that the average MSE in each dataset increases from 673 counts for the low condition to 1165 counts for the severe condition approximately linearly as a function of turbulence strength in terms of C 2 n .…”

Section: The Horizontal Imaging Data Setmentioning

confidence: 99%

“…Of the many methods proposed to tackle this problem [28], [29], [20], techniques based on speckle imaging have shown considerable promise in that they operate capably over a range of imaging conditions when operated by novice users [30], [27]. In addition, real-time embedded image processing systems based on speckle imaging methods are available commercially [31].…”

Section: Introductionmentioning

confidence: 99%

Robustness of speckle-imaging techniques applied to horizontal imaging scenarios

Bos

2012

Opt. Eng

Self Cite

View full text Add to dashboard Cite

“…2.12) for each data set. A log-normal distribution has also been fitted to each distribution having been found to provide the best fit to the errors frequency in each distribution[27]. It is oberved that the average MSE in each dataset increases from 673 counts for the low condition to 1165 counts for the severe condition approximately linearly as a function of turbulence strength in terms of C 2…”

mentioning

confidence: 99%

Robustness of speckle imaging techniques applied to horizontal imaging scenarios

Bos¹

Self Cite

View full text Add to dashboard Cite

Simulation of extended scenes imaged through turbulence over horizontal paths

Cited by 5 publications

References 0 publications

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

Robustness of speckle-imaging techniques applied to horizontal imaging scenarios

Robustness of speckle imaging techniques applied to horizontal imaging scenarios

Contact Info

Product

Resources

About