文献类型：期刊文献

英文题名：Pose Estimation for Non-cooperative Satellites Based on a Three-Dimensional Bounding Box Detection Network

作者：Chen, Liwei[1]; Yi, Jianjun[1]; Wu, Bin[2]; Su, Lin[1]

机构：[1] Department of Mechanical Engineering, East China University of Science and Technology, Shanghai, 200237, China; [2] Aerospace System Engineering Shanghai, NO.3888 Yuanjiang Road, Minhang District, Shanghai, 201109, China

年份：2025

卷号：13539

外文期刊名：Proceedings of SPIE - The International Society for Optical Engineering

收录：EI(收录号：20250917970975)

语种：英文

外文关键词：Digital cameras - Image enhancement - Satellite imagery - Time difference of arrival

摘要：Detecting predefined key points on the satellite body in monocular images is a key method for performing satellite pose estimation. However, existing methods always design specialized predefined key points for a single satellite, which results in the low universality of such visual-based methods. Moreover, under remote observation conditions, the information on the surface of the satellite is not clear, and this complex presetting of key points is not easily detected. In this study, a neural network capable of predicting a 3D bounding box with relative depth information detection is proposed as a means of adapting to different satellite targets using a more general and geometrically simple definition of key points. Furthermore, the network is able to estimate satellite rotation accurately based on the aforementioned prediction results. The generalization ability of the proposed CNN-based model was enhanced by conducting network training and testing using a custom-built synthetic image dataset composed of a collection of 15 distinct satellite models captured using a virtual camera. The testing results demonstrate that the proposed pose estimation approach obtains accurate performance for non-cooperative targets with distinct shapes in the absence of predefined key point designs. Moreover, the observed accuracy of pose estimation is consistent with that of existing advanced models trained with only a single satellite target. ? 2025 SPIE.