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Proceedings Paper

Image recovery from triple product data using maximum entropy
Author(s): Bill Junor; Sergio R. Restaino
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Paper Abstract

We have investigated an obvious extension of maximum entropy imaging to use triple product data directly rather than by first decomposing the triple products into complex visibilities. This approach may have some advantages for ground-based, optical Michelson interferometry where the visibilities are usually corrupted by atmospheric turbulence. Another advantage of the method is that other a priori information from earlier observing runs or different instruments may be included readily; indeed, the total flux density of the image is required as a constraint.

Paper Details

Date Published: 31 October 2000
PDF: 7 pages
Proc. SPIE 4091, Imaging Technology and Telescopes, (31 October 2000); doi: 10.1117/12.405790
Show Author Affiliations
Bill Junor, Boeing Co. (United States)
Sergio R. Restaino, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4091:
Imaging Technology and Telescopes
James W. Bilbro; James B. Breckinridge; Richard A. Carreras; Stanley R. Czyzak; Mark J. Eckart; Robert D. Fiete; Paul S. Idell; James B. Breckinridge; Mark J. Eckart; Richard A. Carreras; James W. Bilbro; Robert D. Fiete, Editor(s)

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