A fast point-pattern matching algorithm based on statistical method. (arXiv:1903.09423v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Zhang_Z/0/1/0/all/0/1">Zhen-Jun Zhang</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Zhang_Y/0/1/0/all/0/1">Yi-Gong Zhang</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Cheng_X/0/1/0/all/0/1">Xiang-Ming Cheng</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Wang_J/0/1/0/all/0/1">Jian-cheng Wang</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Su_J/0/1/0/all/0/1">Jie Su</a>
We propose a new pattern-matching algorithm for matching CCD images to a
stellar catalogue based statistical method in this paper. The method of
constructing star pairs can greatly reduce the computational complexity
compared with the triangle method. We use a subsample of the brightest objects
from the image and reference catalogue, and then find a coordinate
transformation between the image and reference catalogue based on the
statistical information of star pairs. Then all the objects are matched based
on the initial plate solution. The matching process can be accomplished in
several milliseconds for the observed images taken by Yunnan observatory 1-m
telescope.
We propose a new pattern-matching algorithm for matching CCD images to a
stellar catalogue based statistical method in this paper. The method of
constructing star pairs can greatly reduce the computational complexity
compared with the triangle method. We use a subsample of the brightest objects
from the image and reference catalogue, and then find a coordinate
transformation between the image and reference catalogue based on the
statistical information of star pairs. Then all the objects are matched based
on the initial plate solution. The matching process can be accomplished in
several milliseconds for the observed images taken by Yunnan observatory 1-m
telescope.
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