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...
Saved in:
Main Authors: | , , |
---|---|
其他作者: | |
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 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
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. |
---|