San Diego Convention Center
San Diego, California, United States
1 - 5 August 2021
San Diego, California, United States
1 - 5 August 2021
This conference has an open call for papers:
submit an abstract
(sign in required)
Submission guidelines for Authors and Presenters
submit an abstract
(sign in required)
Submission guidelines for Authors and Presenters
Important Dates
Abstract Due:
3 February 2021
Post-Deadline Submissions are Currently Being Accepted.
Author Notification:
5 April 2021
Manuscript Due Date:
7 July 2021
3 February 2021
Post-Deadline Submissions are Currently Being Accepted.
Author Notification:
5 April 2021
Manuscript Due Date:
7 July 2021
Additional Conference Information
Call for
Papers
Papers
The objective of this conference is to bring together researchers interested in the development of unconventional imaging and adaptive-optics systems. Therefore, we seek papers that:
Papers from industry, government, academia, and other research organizations are welcome on the following and related areas:
IMAGING
ADAPTIVE OPTICS
- describe novel imaging and adaptive-optics techniques using unconventional means of sensing, data collection, data processing, and interpretation;
- address laboratory-, space-, airborne-, sea-, and ground-based systems, including those requiring compensation for distributed-volume aberrations (e.g., deep turbulence), high-speed aberrations (e.g., aero effects), scattering media (e.g., fog and tissue), and speckle phenomena (e.g., rough-surface scattering); and
- seek to design effective and efficient algorithms for processing different kinds of available data and constraints to obtain solutions to many kinds of imaging and adaptive-optics applications.
Papers from industry, government, academia, and other research organizations are welcome on the following and related areas:
IMAGING
- computational imaging
- system modeling and regularization
- imaging from active or passive illumination
- imaging from image-plane measurements, pupil-plane measurements, or both
- imaging from synthetic aperture ladar and inverse synthetic aperture ladar systems
- inverse problems using probabilistic and Bayesian methods
- imaging from diversity measurements, including phase diversity, polarization diversity, aperture diversity, wavelength diversity, and wavefront sensing
- imaging using ultrafast pulses
- radar, lidar, and sonar imaging
- biological and molecular imaging
- imaging of, or through turbulent, refracting, or highly scattering media
- profile inversion
- wavefield propagation
- synthetic aperture imaging
- nanoimaging
- mm wave imaging
- phase retrieval, superresolution, and deconvolution
- multispectral and hyperspectral imaging
- coded aperture imaging
- compressive sensing and 3D and surface reconstruction and computer vision
- information-theoretic limits for image recovery and synthesis
- experimental results or hardware related to the implementation of unconventional imaging systems
- low-light imaging
- computationally efficient algorithms
- applications in remote sensing, medicine, biology, geophysics, etc.
- reconfigurable diffractive optical systems
- approaches using artificial intelligence, such as machine learning and deep learning.
ADAPTIVE OPTICS
- computational sensing
- wavefront sensing and reconstruction
- active and passive tracking
- woofer-tweeter approaches
- multi-conjugate approaches
- extended-beacon approaches
- compensation of jitter
- compensation of aero effects
- compensation of deep turbulence
- advances in deformable mirrors, fast-steering mirrors, phase modulators, spatial-light modulators, etc.
- advances in non-mechanical beam steering
- advances in gradient, curvature, and interferometric wavefront sensors
- advances in phased arrays and tiled arrays
- advances in digital holography
- applications such as long-range imaging, retinal imaging, confocal microscopy, ultrashort pulse shaping, fiber coupling, laser communications, laser designation, astronomy, power beaming, beam cleanup, and laser cavities
- ophthalmological applications of adaptive optics and wavefront sensing
- scaled-laboratory disturbance generation
- active and passive flow control
- aero-optics and deep-turbulence characterization
- developments in scaling-law and wave-optics theory and simulations
- developments in adaptive/predictive control theory and simulations
- approaches using artificial intelligence, such as machine learning and deep learning.
This conference has an open call for papers:
submit an abstract
(sign in required)
Submission guidelines for Authors and Presenters
submit an abstract
(sign in required)
Submission guidelines for Authors and Presenters
Conference Committee
Conference Chairs
Program Committee
- Jean J. Dolne, The Boeing Co. (United States)
- Mark F. Spencer, Air Force Research Lab. (United States)
Program Committee
- Santasri R. Bose-Pillai, Air Force Institute of Technology (United States)
- James R. Fienup, The Institute of Optics, Univ. of Rochester (United States)
- Victor L. Gamiz, Tau Technologies LLC (United States)
- Kenneth J. Jerkatis, Ball Aerospace (United States)
Program Committee continued...
- Matthew Kemnetz, Air Force Research Lab. (United States)
- Denis W. Oesch, Liedos, Inc. (United States)
- Casey J. Pellizzari, U.S. Air Force Academy (United States)
- Markus E. Testorf, Dartmouth College (United States)
- David G. Voelz, New Mexico State Univ. (United States)
