Star suppression based on structure of star groups for geosynchronous object detection using wide-field telescopes

地球同步轨道 明星(博弈论) 物理 天文 领域(数学) 计算机科学 天体物理学 卫星 数学 纯数学
作者
X. H. Wang,Zhi Li,Can Xu,Fei Feng,Fei Feng,Yuan Ren,Kaiyuan Zheng,Jiayu Qiu
出处
期刊:IEEE Transactions on Aerospace and Electronic Systems [Institute of Electrical and Electronics Engineers]
卷期号:60 (3): 3160-3176
标识
DOI:10.1109/taes.2024.3360957
摘要

Wide-field telescopes are widely utilized to observe geosynchronous objects, with low cost and high performance. In geosynchronous object detection, stars produce the most false alarms. Thus, star-suppression is required to improve the accuracy of geosynchronous object detection. However, traditional methods involve false identification and missing identification due to the significant distortion of wide-field telescopes and undersampling of fiant images. Distortion could lead to the observed positions of stars deviating from their theoretical positions, while fiant and undersampling images could result in inaccurate centroid extraction. In this study, a method was proposed for analyzing the motion and structural characteristics of stars, space objects, and noise, focusing on maintaining a high star identification rate and low false identification rate with the mentioned errors. First, the invariance of the star structure under the influence of projection transformation and distortion was strictly derived. Second, two types of star-pair indices were suggested. Assessment of the structural stability was added to the foundation of the centroid matching. For accurate identification of stars, the influence of dynamic distortion was effectively inhibited using the established star-structure evaluation system. Our method achieves lightweight, straightforward, and rapid detection without requiring any prior star catalog or telescope distortion model. The experiment demonstrates that the performance of the proposed method is superior to that of previous methods influenced by distortion and centroid positioning error.
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