Speckle Interferometry And Maximum Probability Methods

Steven M. Ebstein; David Korff

doi:10.1117/12.942081

29 January 1988 Speckle Interferometry And Maximum Probability Methods

Steven M. Ebstein, David Korff

Proceedings Volume 0828, Digital Image Recovery and Synthesis; (1988) https://doi.org/10.1117/12.942081
Event: 31st Annual Technical Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, San Diego, CA, United States

Abstract

A technique for finding the most probable object to have resulted in a set of images taken through the turbulent atmosphere is compared to speckle interferometry . The technique involves taking a Karhunen-Loeve decomposition of the set of distortion functions and approximating the probability distributions of the coefficients of the Karhunen-Loeve basis. The probability of an object giving rise to an image is defined as the product of the probabilities of the presumed independent coefficients of the basis vectors. A computer simulation was performed and parameter estimation was performed using the new technique and standard speckle interferometry. The maximum probability technique generates parameter estimates that have standard deviations over an order of magnitude smaller than the speckle interferometry estimates.

Citation Download Citation

Steven M. Ebstein and David Korff "Speckle Interferometry And Maximum Probability Methods", Proc. SPIE 0828, Digital Image Recovery and Synthesis, (29 January 1988); https://doi.org/10.1117/12.942081

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available