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Proceedings Paper

Bayesian Analysis Of Signals From Closely-Spaced Objects
Author(s): G. Larry Bretthorst; C. Ray Smith
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Paper Abstract

Bayesian probability theory is applied to the problem of the resolution of closely-spaced objects. The conditions assumed are: point sources, observed through a known smearing function (i.e., point-spread function). For this demonstration we use a Gaussian smearing function so that we can obtain analytic results; however, we present graphical results for both the Gaussian and the Airy smearing functions. The generalizations to arbitrary smearing functions may be found in other works by Bretthorst. The results obtained for one and two point sources indicate explicitly the dependence of resolution on signal-to-noise and on the smearing function.

Paper Details

Date Published: 30 June 1989
PDF: 12 pages
Proc. SPIE 1050, Infrared Systems and Components III, (30 June 1989); doi: 10.1117/12.951434
Show Author Affiliations
G. Larry Bretthorst, Washington University (United States)
C. Ray Smith, U. S. Army Missile Command (United States)


Published in SPIE Proceedings Vol. 1050:
Infrared Systems and Components III
Robert L. Caswell, Editor(s)

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