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Star Centroiding Based on Fast Gaussian Fitting for Star Sensors

The most accurate star centroiding method for star sensors is the Gaussian fitting (GF) algorithm, because the intensity distribution of a star spot conforms to the Gaussian function, but the computational complexity of GF is too high for real-time applications. In this paper, we develop the fast Ga...

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Detalles Bibliográficos
Autores principales: Wan, Xiaowei, Wang, Gangyi, Wei, Xinguo, Li, Jian, Zhang, Guangjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163372/
https://www.ncbi.nlm.nih.gov/pubmed/30154307
http://dx.doi.org/10.3390/s18092836
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author Wan, Xiaowei
Wang, Gangyi
Wei, Xinguo
Li, Jian
Zhang, Guangjun
author_facet Wan, Xiaowei
Wang, Gangyi
Wei, Xinguo
Li, Jian
Zhang, Guangjun
author_sort Wan, Xiaowei
collection PubMed
description The most accurate star centroiding method for star sensors is the Gaussian fitting (GF) algorithm, because the intensity distribution of a star spot conforms to the Gaussian function, but the computational complexity of GF is too high for real-time applications. In this paper, we develop the fast Gaussian fitting method (FGF), which approximates the solution of the GF in a closed-form, thus significantly speeding up the GF algorithm. Based on the fast Gaussian fitting method, a novel star centroiding algorithm is proposed, which sequentially performs the FGF twice to calculate the star centroid: the first FGF step roughly calculates the Gaussian parameters of a star spot and the noise intensity of each pixel; subsequently the second FGF accurately calculates the star centroid utilizing the noise intensity provided in the first step. In this way, the proposed algorithm achieves both high accuracy and high efficiency. Both simulated star images and star sensor images are used to verify the performance of the algorithm. Experimental results show that the accuracy of the proposed algorithm is almost the same as the GF algorithm, higher than most existing centroiding algorithms, meanwhile, the proposed algorithm is about 15 times faster than the GF algorithm, making it suitable for real-time applications.
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spelling pubmed-61633722018-10-10 Star Centroiding Based on Fast Gaussian Fitting for Star Sensors Wan, Xiaowei Wang, Gangyi Wei, Xinguo Li, Jian Zhang, Guangjun Sensors (Basel) Article The most accurate star centroiding method for star sensors is the Gaussian fitting (GF) algorithm, because the intensity distribution of a star spot conforms to the Gaussian function, but the computational complexity of GF is too high for real-time applications. In this paper, we develop the fast Gaussian fitting method (FGF), which approximates the solution of the GF in a closed-form, thus significantly speeding up the GF algorithm. Based on the fast Gaussian fitting method, a novel star centroiding algorithm is proposed, which sequentially performs the FGF twice to calculate the star centroid: the first FGF step roughly calculates the Gaussian parameters of a star spot and the noise intensity of each pixel; subsequently the second FGF accurately calculates the star centroid utilizing the noise intensity provided in the first step. In this way, the proposed algorithm achieves both high accuracy and high efficiency. Both simulated star images and star sensor images are used to verify the performance of the algorithm. Experimental results show that the accuracy of the proposed algorithm is almost the same as the GF algorithm, higher than most existing centroiding algorithms, meanwhile, the proposed algorithm is about 15 times faster than the GF algorithm, making it suitable for real-time applications. MDPI 2018-08-28 /pmc/articles/PMC6163372/ /pubmed/30154307 http://dx.doi.org/10.3390/s18092836 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wan, Xiaowei
Wang, Gangyi
Wei, Xinguo
Li, Jian
Zhang, Guangjun
Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title_full Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title_fullStr Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title_full_unstemmed Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title_short Star Centroiding Based on Fast Gaussian Fitting for Star Sensors
title_sort star centroiding based on fast gaussian fitting for star sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163372/
https://www.ncbi.nlm.nih.gov/pubmed/30154307
http://dx.doi.org/10.3390/s18092836
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AT lijian starcentroidingbasedonfastgaussianfittingforstarsensors
AT zhangguangjun starcentroidingbasedonfastgaussianfittingforstarsensors