Abstract
Three approaches for overcoming the challenges of imaging in strong turbulence are presented. They use spectral nulls that exist in the data, wave front sensor measurements and multiple telescope data to resolve these issues.
| Original language | English (US) |
|---|---|
| Title of host publication | Computational Optical Sensing and Imaging, COSI 2012 |
| Pages | CTu2B.1 |
| State | Published - Dec 1 2012 |
| Event | Computational Optical Sensing and Imaging, COSI 2012 - Monterey, CA, United States Duration: Jun 24 2012 → Jun 28 2012 |
Publication series
| Name | Computational Optical Sensing and Imaging, COSI 2012 |
|---|
Other
| Other | Computational Optical Sensing and Imaging, COSI 2012 |
|---|---|
| Country | United States |
| City | Monterey, CA |
| Period | 6/24/12 → 6/28/12 |
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
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Cite this
Hope, D. A., Jefferies, S. M., & Hart, M. (2012). Numerical restoration of imagery obtained in strong turbulence. In Computational Optical Sensing and Imaging, COSI 2012 (pp. CTu2B.1). (Computational Optical Sensing and Imaging, COSI 2012).