A hamming distance and spearman correlation based star identification algorithm

Mehta Deval Samirbhai; Shoushun Chen; Kay Soon Low

doi:10.1109/TAES.2018.2845198

A hamming distance and spearman correlation based star identification algorithm

Mehta Deval Samirbhai, Shoushun Chen, Kay Soon Low

Research output: Contribution to journal › Article › Research › peer-review

30 Citations (Scopus)

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.

Original language	English
Article number	8374923
Pages (from-to)	17-30
Number of pages	14
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	55
Issue number	1
DOIs	https://doi.org/10.1109/TAES.2018.2845198
Publication status	Published - Feb 2019
Externally published	Yes

Keywords

Hamming distance
lost-in-space (LIS) mode
Spearman correlation
star identification
star tracker

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10.1109/TAES.2018.2845198

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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.",

keywords = "Hamming distance, lost-in-space (LIS) mode, Spearman correlation, star identification, star tracker",

author = "Samirbhai, {Mehta Deval} and Shoushun Chen and Low, {Kay Soon}",

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AU - Chen, Shoushun

AU - Low, Kay Soon

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AB - 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.

KW - Hamming distance

KW - lost-in-space (LIS) mode

KW - Spearman correlation

KW - star identification

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JF - IEEE Transactions on Aerospace and Electronic Systems

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A hamming distance and spearman correlation based star identification algorithm

Abstract

Keywords

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