Image recovery from triple product data using maximum entropy

Bill Junor; Sergio R. Restaino

doi:10.1117/12.405790

31 October 2000 Image recovery from triple product data using maximum entropy

Bill Junor, Sergio R. Restaino

Proceedings Volume 4091, Imaging Technology and Telescopes; (2000) https://doi.org/10.1117/12.405790
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Bill Junor and Sergio R. Restaino "Image recovery from triple product data using maximum entropy", Proc. SPIE 4091, Imaging Technology and Telescopes, (31 October 2000); https://doi.org/10.1117/12.405790

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