Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Deep Learning for Turbulence-Tolerant Wavefront Reconstruction of Shack-Hartmann Wavefront Sensors

Not Accessible

Your library or personal account may give you access


Shack-Hartmann wavefront sensors are limited in turbulence by non-uniform illumination and branch points. We describe the Intensity/Slopes Network (ISNet), which reconstructs wavefronts from intensity and slope information, and demonstrate that it improves performance in turbulence.

© 2020 The Author(s)

PDF Article
More Like This
Wavefront Reconstruction for Noisy Shack-Hartmann Wavefront Sensors using Deep Learning

Harshil Dave, Theodore B. DuBose, and Abbie T. Watnik
PF1C.6 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2021

Comparison of the Shack-Hartmann and fixed-pyramid wavefront sensors in weak to moderately deep turbulence conditions

Naresh Tako, Cameron J. Radosevich, Terry J. Brennan, and Mark F. Spencer
PF1C.4 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2021

Measurement of creation pairs by Shack-Hartmann wavefront sensors

Darryl J. Sanchez, Denis W. Oesch, and Patrick R. Kelly
PTu3E.2 Propagation Through and Characterization of Distributed Volume Turbulence (pcDVT) 2014


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access Optica Member Subscription

Select as filters

Select Topics Cancel
© Copyright 2022 | Optica Publishing Group. All Rights Reserved