Four-agent coherent plug & play: physics-constrained deep learning for imaging correction and wavefront sensing in deep turbulence

Authors

• Casey J. Pellizzari, United States Air Force Academy
• Adrienne Weaver, United States Air Force Academy
• Carter Pots, United States Air Force Academy
• Tyler J. Hardy, United States Air Force Academy
• Robert Lloyd, United States Air Force Academy
• Mark F. Spencer, Air Force Institute of Technology

Document Type

Conference Proceeding

Publication Date

9-18-2025

Comments

Copyright © 2025 Society of Photo-Optical Instrumentation Engineers (SPIE).
The full paper is available from SPIE via subscription or purchase using the DOI link below.

Event: SPIE Optical Engineering + Applications, 2025, San Diego

DOI

10.1117/12.3063175

Source Publication

Proceedings of SPIE Volume 13619: Unconventional Imaging, Sensing, and Adaptive Optics 2025

Recommended Citation

Casey J. Pellizzari, Adrienne Weaver, Carter Potts, et al. "Four-agent coherent plug & play: physics-constrained deep learning for imaging correction and wavefront sensing in deep turbulence", Proc. SPIE 13619, Unconventional Imaging, Sensing, and Adaptive Optics 2025, 136190Z (18 Sept 2025); https://doi.org/10.1117/12.3063175