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Reconstructing Satellites in 3D from Amateur Telescope Images
April 30, 2024, 4:47 a.m. | Zhiming Chang, Boyang Liu, Yifei Xia, Youming Guo, Boxin Shi, He Sun
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper proposes a framework for the 3D reconstruction of satellites in low-Earth orbit, utilizing videos captured by small amateur telescopes. The video data obtained from these telescopes differ significantly from data for standard 3D reconstruction tasks, characterized by intense motion blur, atmospheric turbulence, pervasive background light pollution, extended focal length and constrained observational perspectives. To address these challenges, our approach begins with a comprehensive pre-processing workflow that encompasses deep learning-based image restoration, feature point …
3d reconstruction abstract arxiv cs.cv data earth framework images light low paper satellites small standard tasks telescopes turbulence type video video data videos
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