Self-calibrating shift-and-add technique for speckle imaging

Details Self-calibrating shift-and-add technique for speckle imaging Self-calibrating shift-and-add technique for speckle imaging

Feb 1986

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986josaa...3..204c&link_type=abstract

Optical Society of America, Journal, A: Optics and Image Science (ISSN 0740-3232), vol. 3, Feb. 1986, p. 204-209.

Physics

Optics

16

Image Reconstruction, Interferometry, Optical Correction Procedure, Speckle Patterns, Stellar Envelopes, Telescopes, Calibrating, Fourier Transformation, Mirrors, Poisson Density Functions, Power Spectra

Scientific paper

An image-reconstruction technique for astronomical speckle interferometric data is described. This variant of the shift-and-add algorithm originally developed by Lynds et al. (1976) utilizes a weighted impulse distribution of speckle positions to extract an average speckle for a data set. This is done by means of a weighted deconvolution procedure, similar in form to a Weiner filter, which deconvolves the specklegram by the impulse distribution. Results show that this method appears to be self-calibrating for seeing effects. It yields point-spread functions, for observations of an unresolved star, that compare quantitatively with computed Airy patterns for both simple apertures and the fully phased multiple mirror telescope array. Images of the resolved object Alpha Orionis show evidence of an extended stellar envelope.

Affiliated with

Also associated with

No associations

Rating

Self-calibrating shift-and-add technique for speckle imaging does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Self-calibrating shift-and-add technique for speckle imaging, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-calibrating shift-and-add technique for speckle imaging will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1676799