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Maximum Likelihood Estimation of Digital Image Center

Published online by Cambridge University Press:  07 August 2017

Lu Chun-Lin
Lu Chun-Lin*
Affiliation:
Purple Mountain Observatory, Academia Sinica, Nanjing 210008, China

Abstract

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A algorithm for digital image centering with the maximum likelihood method is described. The astrometric accuracy of this algorithm is similar to the two-dimensional Gaussian fitting. For saturated images, this algorithm is better than the Gaussian fitting. With the maximum likelihood method, some systematic effect, such as coma and magnitude equation, can be reduced significantly.

Type
Ground-Based Optical Astrometry
Information
Symposium - International Astronomical Union , Volume 156: Developments in Astrometry and their Impacts on Astrophysics , 1993 , pp. 113 - 116
Copyright
Copyright © Kluwer 

References

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