New star pattern recognition approach based on Hausdorff distance

A star pattern recognition approach has been developed. Its based idea was that extracting the star pattern information, fitting together the information to a pending data set B, putting all star catalog information into a criterion data set A, and computing the relative Hausdorff distance of two sets, here a and b is a vector element of set A and set B. The star was recognized according to the minimum Hausdorff distance. The approach is different from the conventional star pattern recognition approach, which uses the starlight angle-distance method to get the position, it takes the most of the information of star dimensional configuration, therefore, the approach has strong robusticity for the disturbance of noise, distortion, and a few meteor. In the case of random noise, imaging distortion, and a few meteor disturbing, the experimental results of half physical simulation indicate that the approach has good recognition effect.