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Proceedings Paper

Multiframe blind deconvolution for imaging in daylight and strong turbulence conditions
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Paper Abstract

We describe results from new computational techniques to extend the reach of large ground-based optical telescopes, enabling high resolution imaging of space objects under daylight conditions. Current state-of-the-art systems, even those employing adaptive optics, dramatically underperform in such conditions because of strong turbulence generated by diurnal solar heating of the atmosphere, characterized by a ratio of telescope diameter to Fried parameter as high as 70. Our approach extends previous advances in multi-frame blind deconvolution (MFBD) by exploiting measurements from a wavefront sensor recorded simultaneously with high-cadence image data. We describe early results with the new algorithm which may be used with seeing-limited image data or as an adjunct to partial compensation with adaptive optics to restore imaging to the diffraction limit even under the extreme observing conditions found in daylight.

Paper Details

Date Published: 14 September 2011
PDF: 6 pages
Proc. SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, 81650L (14 September 2011); doi: 10.1117/12.896564
Show Author Affiliations
Michael Hart, Hart Scientific Consulting International LLC (United States)
Stuart Jefferies, Hart Scientific Consulting International LLC (United States)
Douglas Hope, Hart Scientific Consulting International LLC (United States)
E. Keith Hege, Hart Scientific Consulting International LLC (United States)
Runa Briguglio, INAF - Osservatorio Astrofisico di Arcetri (Italy)
Enrico Pinna, INAF - Osservatorio Astrofisico di Arcetri (Italy)
Alfio Puglisi, INAF - Osservatorio Astrofisico di Arcetri (Italy)
Fernando Quiros, INAF - Osservatorio Astrofisico di Arcetri (Italy)
Marco Xompero, INAF - Osservatorio Astrofisico di Arcetri (Italy)


Published in SPIE Proceedings Vol. 8165:
Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems
Stanley Rogers; Jean J. Dolne; David P. Casasent; Thomas J. Karr; Victor L. Gamiz, Editor(s)

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