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: | , , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
| 出版: |
2019
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| 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 |
| 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. |
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