A new star detection approach for a satellite-onboard star tracker

Mahi, Zoubida; Karoui, Moussa Sofiane; Keche, Mokhtar

doi:10.1016/j.asr.2023.06.010

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…When operating under near-Earth daytime conditions, these sensors face significant interference from strong background sky radiation, which severely affects the energy of star points [2]. This interference results in a low SNR of star points within the imagery, hindering target extraction and centroid positioning [3], and thereby impacting the normal functioning of star sensors. Ensuring that star sensors can perform accurate attitude measurements under the intense background radiation of daytime skies poses a major challenge and is a primary factor limiting their application in near-Earth daytime conditions [4].…”

Section: Introductionmentioning

confidence: 99%

A Multimodal Approach for Attitude Measurement of Near-Earth Daytime Star Sensors

He,

Wei

2024

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When star sensors operate under near-Earth daytime conditions, the intense background radiation from the sky severely interferes with the energy of the star points in the imagery, resulting in a low signal-to-noise ratio (SNR) for the star points. This low SNR hinders target extraction and centroid positioning, thereby affecting the normal attitude measurement of star sensors. Addressing the challenge of attitude measurement under daytime conditions, this study first analyzes the mapping relationship of pixel positions in consecutive frames of star sensor imagery. A star image superposition algorithm based on attitude-related frames is proposed. On this foundation, an attitude measurement method based on star image superposition is employed for measuring the attitude of daytime star sensors. Furthermore, a fitting algorithm for the solar centroid is introduced, and a coarse measurement method based on solar position is applied to determine the optical axis orientation of daytime star sensors, enhancing their robustness in daylight conditions. The algorithm proposed in this study is validated through experiments. The results demonstrate that the multimodal attitude measurement method not only effectively improves the SNR of near-Earth daytime star sensor imagery through star image superposition, ensuring the accuracy of attitude measurements, but also ensures the robustness of attitude measurements through solar centroid fitting.

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Section: Introductionmentioning

confidence: 99%

A Multimodal Approach for Attitude Measurement of Near-Earth Daytime Star Sensors

He,

Wei

2024

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Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor

Guesmi,

Moloney

2024

2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)

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Grayscale Iterative Star Spot Extraction Algorithm Based on Image Entropy

Zhao,

Liao,

Zhang

et al. 2024

Applied Sciences

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Star trackers are susceptible to interference from stray light, such as sunlight, moonlight, and Earth atmosphere light, in the space environment, resulting in an overall improvement in the star image grayscale, poor background uniformity, low star extraction rate, and high number of false star spots. In response to these challenges, this paper proposes a grayscale iterative star spot extraction algorithm based on image entropy. The implementation of the algorithm is mainly divided into two steps: (1) The algorithm conducts multiple grayscale iterations, effectively utilizing the prior information on the local contrast of star spots to filter out stray light backgrounds to a certain extent. (2) By establishing an inner–outer template, the image entropy algorithm is employed to obtain the real star targets to be extracted, which further suppresses the background clutter and noise. Numerical simulations and experimental results demonstrate that, compared to traditional detection algorithms, this algorithm can effectively suppress background stray light, enhance star extraction rates, and reduce the number of false star spots, and it exhibits superior detection performance in complex backgrounds across various scenarios.

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A new star detection approach for a satellite-onboard star tracker

Cited by 3 publications

References 27 publications

A Multimodal Approach for Attitude Measurement of Near-Earth Daytime Star Sensors

A Multimodal Approach for Attitude Measurement of Near-Earth Daytime Star Sensors

Hardware-aware, deep-learning approaches for image denoising and star detection for star tracker sensor

Grayscale Iterative Star Spot Extraction Algorithm Based on Image Entropy

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