光学精密工程2025，Vol.33Issue(13)：2089-2107,19.DOI:10.37188/OPE.20253313.2089
质子辐照下动态星敏感器质心定位
Centroid localization of dynamic star sensors under proton irradiation
摘要
Abstract
To achieve precise centroid localization in dynamic star images subjected to proton irradiation,a deep learning-based algorithm is proposed.A keypoint model for the centroids of streaked star spots is first established,followed by the construction of a star centroid keypoint detection network based on this mod-el.The energy degradation behavior of dynamic star images and the effects of proton irradiation are consid-ered,and a star image dataset is generated by integrating proton cumulative irradiation and transient experi-ments.This dataset,supplemented with actual irradiated dynamic star images,is employed to train and validate the keypoint detection network.The localization accuracy of the network is subsequently com-pared with conventional restoration-based methods.Validation on simulated non-irradiated star images demonstrates that,within an angular velocity range of 0(°)/s to 7(°)/s,the centroid localization error ranges between 0.03 and 0.2 pixel,surpassing restoration-based methods by approximately an order of magnitude.For actual irradiated dynamic star images with angular velocities between 2.5(°)/s and 10(°)/s,the localization error varies from 0.4 to 1.8 pixel.Furthermore,the proposed method effective-ly addresses challenging scenarios where traditional methods falter,such as distinguishing star spots from transient bright spots and resolving overlapping star streaks.The algorithm exhibits robust performance against radiation noise and high-dynamic interference,offering a novel solution for the application of star sensors in complex environments.关键词
星敏感器/动态/质心定位/质子/亚像素/神经网络Key words
star sensor/dynamic/centroid localization/proton/subpixel/neural network分类
信息技术与安全科学引用本文复制引用
罗智文,冯婕,郭旗,李豫东..质子辐照下动态星敏感器质心定位[J].光学精密工程,2025,33(13):2089-2107,19.基金项目
国家自然科学基金资助项目(No.12175307) （No.12175307）
中国科学院西部青年英才培养计划资助项目(No.2022-XBQNXZ-010) （No.2022-XBQNXZ-010）
新疆维吾尔自治区青年科技人才项目(No.2022TSYCCX0094) （No.2022TSYCCX0094）
