Seminar: James Allworth, 18th Jun, 1p

When: Thurs 18th of Jun, 1p

Where: This seminar will be presented online, RSVP here.

Speaker: James Allworth

Title: A Transfer Learning approach to Space Debris Classification through Light Curve Analysis

Abstract: In this seminar I will be present progress in my research into space debris classification through the application of transfer learning to light curves extracted from telescope data. The development of a generalised characterisation method for space debris is a significant goal in Space Situational Awareness (SSA) in order to mitigate the risk to both current and future space missions. A dataset of real light curves is being collected and curated using telescope data provided by an industry partner. Due to the difficulties in labelling the real data and obtaining large quantities of observational data, a high-fidelity Blender based simulation environment has also been developed with the ability to generate light curves for a range of space objects. This simulated dataset will be used for pre-training models with the aim of improving classification results on the real dataset.

Bio: James graduated with a Bachelor of Aeronautical Space Engineering from the University of Sydney in 2016 and is currently a PhD student at ACFR.

Contacts

Sydney Institute for Robotics and Intelligent Systems
info@acfr.usyd.edu.au