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Seminar: Machine Learning for Space Debris Characterization

Nadine Trummer (IWF Graz) will talk about how machine learning helps to identify space debris from lightcurves taken with Satellite Laser Ranging.

The growing population of man-made debris in Earth’s orbit is of high concern for active and future satellite missions due to risk of collision. Knowing object characteristics such as shape, attitude or rotational state can help improve orbit predictions.

This seminar talk will discuss how Machine Learning (ML) techniques can help characterize space debris using an object’s brightness variations over time as input for training. As an example, results of our latest publication will be discussed, which used a variety of ML models to classify space debris.

recording: www.youtube.com/watch

Information

 

IWF Seminar series

Speaker
Nadine Trummer

When
23.1.2024, 14.00 Uhr

Where
U.a.4 in-person and via Zoom

Recordings
Please be aware that the talks may be recorded, including the questions asked by the audience after the talk.