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Maximum Likelihood Estimation of Digital Image Center
Published online by Cambridge University Press: 07 August 2017
Abstract
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
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- Copyright
- Copyright © Kluwer