Real-Time Convolutional Neural Network-Based Star Detection and Centroiding Method for CubeSat Star Tracker

arXiv:2404.19108v1 Announce Type: new
Abstract: Star trackers are one of the most accurate celestial sensors used for absolute attitude determination. The devices detect stars in captured images and accurately compute their projected centroids on an imaging focal plane with subpixel precision. Traditional algorithms for star detection and centroiding often rely on threshold adjustments for star pixel detection and pixel brightness weighting for centroid computation. However, challenges like high sensor noise and stray light can compromise algorithm performance. This article introduces …

abstract algorithms arxiv astro-ph.im attitude celestial compute convolutional convolutional neural network cs.cv detection devices eess.iv images imaging network neural network plane precision real-time sensors star stars type