A Method for the Detection of Artificial Target in Star Background
To address the difficulty of the artificial target detection owing to the similarities of the spectral characteristics and motion of artificial target and stars,this study firstly proposes a star identification algorithm with multi-source standard star pattern.The algorithm establishes a standard star pattern and fused multi-star identification results.A multi-frame feature fusion decision method applied with mean-shift clustering and confidence measure is secondly proposed.The results show that compared with the traditional topology star identification algorithm,the multi-source standard star pattern is of stronger anti-interference capacity to the star location noise and magnitude noise.The identification rate is higher than 95%and the time is less than 2 s.The multi-star fusion identification algorithm could accurately identify artificial target from the stars with similar motion.The methods proposed in this study realizea the artificial target detection in star background.
artificial targetstar identificationstandard star patternfusion decision
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