Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail
To improve the centroid extraction accuracy and efficiency of high-dynamic star sensors, this paper proposes a multi-centroid localization method based on the prior distribution of star trail projections. First, the mapping relationship between attitude information and star trails is constructed bas...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/266 |
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| author | Xingyu Tang Qipeng Cao Zongqiang Fu Tingting Xu Rui Duan Xiubin Yang |
| author_facet | Xingyu Tang Qipeng Cao Zongqiang Fu Tingting Xu Rui Duan Xiubin Yang |
| author_sort | Xingyu Tang |
| collection | DOAJ |
| description | To improve the centroid extraction accuracy and efficiency of high-dynamic star sensors, this paper proposes a multi-centroid localization method based on the prior distribution of star trail projections. First, the mapping relationship between attitude information and star trails is constructed based on a geometric imaging model, and an endpoint centroid group extraction strategy is designed from the perspectives of time synchronization and computational complexity. Then, the endpoint position parameters are determined by fitting the star trail grayscale projection using a line spread function, and accurate centroid localization is achieved through principal axis analysis and inter-frame correlation. Finally, the effectiveness of the proposed method under different dynamic scenarios was tested using numerical simulations and semi-physical experiments. The experimental results show that when the three-axis angular velocity reaches 8°/s, the centroid extraction accuracy of the proposed method remains superior to 0.1 pixels, achieving an improvement of over 30% compared to existing methods and simultaneously doubling the attitude measurement frequency. This demonstrates the superiority of this method in high-dynamic attitude measurement tasks. |
| format | Article |
| id | doaj-art-9eff0a9e5c154d5eb4ffb494dd44e4cf |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-9eff0a9e5c154d5eb4ffb494dd44e4cf2025-01-24T13:47:56ZengMDPI AGRemote Sensing2072-42922025-01-0117226610.3390/rs17020266Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star TrailXingyu Tang0Qipeng Cao1Zongqiang Fu2Tingting Xu3Rui Duan4Xiubin Yang5Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaDFH Satellite Co., Ltd., Beijing 100094, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaSchool of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaTo improve the centroid extraction accuracy and efficiency of high-dynamic star sensors, this paper proposes a multi-centroid localization method based on the prior distribution of star trail projections. First, the mapping relationship between attitude information and star trails is constructed based on a geometric imaging model, and an endpoint centroid group extraction strategy is designed from the perspectives of time synchronization and computational complexity. Then, the endpoint position parameters are determined by fitting the star trail grayscale projection using a line spread function, and accurate centroid localization is achieved through principal axis analysis and inter-frame correlation. Finally, the effectiveness of the proposed method under different dynamic scenarios was tested using numerical simulations and semi-physical experiments. The experimental results show that when the three-axis angular velocity reaches 8°/s, the centroid extraction accuracy of the proposed method remains superior to 0.1 pixels, achieving an improvement of over 30% compared to existing methods and simultaneously doubling the attitude measurement frequency. This demonstrates the superiority of this method in high-dynamic attitude measurement tasks.https://www.mdpi.com/2072-4292/17/2/266star sensorstar trailprojection distributioncentroid extraction |
| spellingShingle | Xingyu Tang Qipeng Cao Zongqiang Fu Tingting Xu Rui Duan Xiubin Yang Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail Remote Sensing star sensor star trail projection distribution centroid extraction |
| title | Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail |
| title_full | Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail |
| title_fullStr | Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail |
| title_full_unstemmed | Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail |
| title_short | Multi-Centroid Extraction Method for High-Dynamic Star Sensors Based on Projection Distribution of Star Trail |
| title_sort | multi centroid extraction method for high dynamic star sensors based on projection distribution of star trail |
| topic | star sensor star trail projection distribution centroid extraction |
| url | https://www.mdpi.com/2072-4292/17/2/266 |
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