Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783359345244766208 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6163372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wanxiaowei starcentroidingbasedonfastgaussianfittingforstarsensors AT wanggangyi starcentroidingbasedonfastgaussianfittingforstarsensors AT weixinguo starcentroidingbasedonfastgaussianfittingforstarsensors AT lijian starcentroidingbasedonfastgaussianfittingforstarsensors AT zhangguangjun starcentroidingbasedonfastgaussianfittingforstarsensors |