Space objects in Geostationary Earth Orbit (GEO) present significant detection challenges in optical imaging due to weak signals, complex stellar backgrounds, and environmental interference. In this paper, we enhance high-frequency features of GEO targets while suppressing background noise at the single-frame level through wavelet transform. Building on this, we propose a multi-frame temporal trajectory completion scheme centered on the Hungarian algorithm for globally optimal cross-frame matching. To effectively mitigate missing and false detections, a series of key steps including temporal matching and interpolation completion, temporal-consistency-based noise filtering, and progressive trajectory refinement are designed in the post-processing pipeline. Experimental results on the public SpotGEO dataset demonstrate the effectiveness of the proposed method, achieving an F_1 score of 90.14%.
@article{arxiv.2510.19220,
title = {Space Object Detection using Multi-frame Temporal Trajectory Completion Method},
author = {Xiaoqing Lan and Biqiao Xin and Bingshu Wang and Han Zhang and Rui Zhu and Laixian Zhang},
journal= {arXiv preprint arXiv:2510.19220},
year = {2026}
}