A hamming distance and spearman-correlation based star identification algorithm

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Authors Mehta Deval Samirbhai, Shoushun Chen, K. Low
Journal/Conference Name I
Paper Category
Paper Abstract This paper presents a novel star identification algorithm for a “lost-in-space” mode star tracker. The Spearman-correlation approach provides reliable recognition even when the captured images are swayed and biased from the onboard star pattern database. The hamming distance approach provides a shortlisted list of star IDs. Thus, the proposed combination of hamming distance and Spearman correlation provides a reliable and fast recognition. The achievable performance is evaluated by testing on simulated and real images.
Date of publication 2019
Code Programming Language Matlab

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