A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions.
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| Title: | A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions. |
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| Authors: | Zhou, Jingsong1,2,3,4 (AUTHOR), Zhang, Hui1,2,3,4 (AUTHOR) hzhang@ioe.ac.cn, Fang, Liang1,2,3,4 (AUTHOR), Gao, Xiaodong1,2,3,4 (AUTHOR), Lu, Kaili1,2,3,4 (AUTHOR), Sun, Wei2,3 (AUTHOR), Zhao, Rujin1,2,3,4 (AUTHOR) |
| Source: | Remote Sensing. Dec2025, Vol. 17 Issue 23, p3853. 27p. |
| Subjects: | Star maps (Astronomy), Coordinate transformations, Energy transfer, Computer performance, Remote sensing devices |
| Abstract: | Highlights: What are the main findings? A comprehensive star map simulation method for airborne All-Time Three-FOV star sensors is proposed, integrating coordinate transformation, energy transfer, and image degradation models. What are the implications of the main findings? The method offers a reliable technical basis for optimizing the design and assessing the performance of airborne All-Time Three-FOV star sensors under dynamic conditions. It enables the validation of star centroid extraction and identification algorithms under controlled disturbance scenarios, reducing dependency on costly and time-consuming real-world stargazing experiments. To address the lack of reliable test data for evaluating star sensor performance in dynamic airborne environments, this paper presents a high-fidelity star map simulation method for all-time three-Field of View (FOV) star sensors. A comprehensive simulation framework integrating stellar radiation, atmospheric transmission, and detector noise models was developed to accurately model star trailing effects under dynamic conditions. First, a stellar position calculation model incorporating atmospheric refraction correction and platform motion parameters was established through coordinate transformations between the Geocentric Celestial Reference System (GCRS) and FOV coordinate system. Next, a complete energy transfer chain was constructed by combining star catalog data, atmospheric radiative properties, and detector noise characteristics. Finally, a quantitative evaluation system was introduced, employing metrics such as signal-to-noise ratio (SNR), total grayscale value (Gtotal), grayscale concentration index (GCI), and dynamic star displacement (DSD). Field experiments at 2388 m altitude (100.23°E, 26.86°N) demonstrated the average relative error of all evaluation metrics below 9% for static conditions and approximately 8% for dynamic scenarios between simulated and real star maps. The method effectively reproduces stellar radiation, atmospheric noise, and dynamic degradation, providing reliable simulation conditions for airborne star sensor testing and star trailing restoration algorithm development. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 190517305 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Jingsong%22">Zhou, Jingsong</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Hui%22">Zhang, Hui</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<i> hzhang@ioe.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Fang%2C+Liang%22">Fang, Liang</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Xiaodong%22">Gao, Xiaodong</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Kaili%22">Lu, Kaili</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Wei%22">Sun, Wei</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Rujin%22">Zhao, Rujin</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Dec2025, Vol. 17 Issue 23, p3853. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Star+maps+%28Astronomy%29%22">Star maps (Astronomy)</searchLink><br /><searchLink fieldCode="DE" term="%22Coordinate+transformations%22">Coordinate transformations</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+transfer%22">Energy transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing+devices%22">Remote sensing devices</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? A comprehensive star map simulation method for airborne All-Time Three-FOV star sensors is proposed, integrating coordinate transformation, energy transfer, and image degradation models. What are the implications of the main findings? The method offers a reliable technical basis for optimizing the design and assessing the performance of airborne All-Time Three-FOV star sensors under dynamic conditions. It enables the validation of star centroid extraction and identification algorithms under controlled disturbance scenarios, reducing dependency on costly and time-consuming real-world stargazing experiments. To address the lack of reliable test data for evaluating star sensor performance in dynamic airborne environments, this paper presents a high-fidelity star map simulation method for all-time three-Field of View (FOV) star sensors. A comprehensive simulation framework integrating stellar radiation, atmospheric transmission, and detector noise models was developed to accurately model star trailing effects under dynamic conditions. First, a stellar position calculation model incorporating atmospheric refraction correction and platform motion parameters was established through coordinate transformations between the Geocentric Celestial Reference System (GCRS) and FOV coordinate system. Next, a complete energy transfer chain was constructed by combining star catalog data, atmospheric radiative properties, and detector noise characteristics. Finally, a quantitative evaluation system was introduced, employing metrics such as signal-to-noise ratio (SNR), total grayscale value (Gtotal), grayscale concentration index (GCI), and dynamic star displacement (DSD). Field experiments at 2388 m altitude (100.23°E, 26.86°N) demonstrated the average relative error of all evaluation metrics below 9% for static conditions and approximately 8% for dynamic scenarios between simulated and real star maps. The method effectively reproduces stellar radiation, atmospheric noise, and dynamic degradation, providing reliable simulation conditions for airborne star sensor testing and star trailing restoration algorithm development. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17233853 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 3853 Subjects: – SubjectFull: Star maps (Astronomy) Type: general – SubjectFull: Coordinate transformations Type: general – SubjectFull: Energy transfer Type: general – SubjectFull: Computer performance Type: general – SubjectFull: Remote sensing devices Type: general Titles: – TitleFull: A High-Fidelity Star Map Simulation Method for Airborne All-Time Three-FOV Star Sensor Under Dynamic Conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou, Jingsong – PersonEntity: Name: NameFull: Zhang, Hui – PersonEntity: Name: NameFull: Fang, Liang – PersonEntity: Name: NameFull: Gao, Xiaodong – PersonEntity: Name: NameFull: Lu, Kaili – PersonEntity: Name: NameFull: Sun, Wei – PersonEntity: Name: NameFull: Zhao, Rujin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 23 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
