تقرير
Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning
| العنوان: | Development of a High Fidelity Simulator for Generalised Photometric Based Space Object Classification using Machine Learning |
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| المؤلفون: | Allworth, James, Windrim, Lloyd, Wardman, Jeffrey, Kucharski, Daniel, Bennett, James, Bryson, Mitch |
| المصدر: | Proceedings of the 70th International Astronautical Congress, 2019 |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science Astrophysics Physics (Other) |
| مصطلحات موضوعية: | Physics - Space Physics, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | This paper presents the initial stages in the development of a deep learning classifier for generalised Resident Space Object (RSO) characterisation that combines high-fidelity simulated light curves with transfer learning to improve the performance of object characterisation models that are trained on real data. The classification and characterisation of RSOs is a significant goal in Space Situational Awareness (SSA) in order to improve the accuracy of orbital predictions. The specific focus of this paper is the development of a high-fidelity simulation environment for generating realistic light curves. The simulator takes in a textured geometric model of an RSO as well as the objects ephemeris and uses Blender to generate photo-realistic images of the RSO that are then processed to extract the light curve. Simulated light curves have been compared with real light curves extracted from telescope imagery to provide validation for the simulation environment. Future work will involve further validation and the use of the simulator to generate a dataset of realistic light curves for the purpose of training neural networks. Comment: This paper is a pre-print that appeared in Proceedings of 70th International Astronautical Congress (IAC), 2019 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2004.12270 |
| رقم الأكسشن: | edsarx.2004.12270 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |