A hamming distance and spearman correlation based star identification algorithm

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 provi...

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Main Authors: Samirbhai, Mehta Deval, Chen, Shoushun, Low, Kay Soon
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2019
主題:
在線閱讀:https://hdl.handle.net/10356/85896
http://hdl.handle.net/10220/48288
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機構: Nanyang Technological University
語言: English
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總結: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.