| A transfer learning approach to space debris classification using observational light curve data J Allworth, L Windrim, J Bennett, M Bryson Acta Astronautica 181, 301-315, 2021 | 18 | 2021 |
| Development of a high fidelity simulator for generalised photometric based space object classification using machine learning J Allworth, L Windrim, J Wardman, D Kucharski, J Bennett, M Bryson arXiv preprint arXiv:2004.12270, 2020 | 14 | 2020 |
| Using synthetic tree data in deep learning-based tree segmentation using LiDAR point clouds M Bryson, F Wang, J Allworth Remote Sensing 15 (9), 2380, 2023 | 7 | 2023 |
| An Australian conjunction assessment service JCS Bennett, M Lachut, D Kooymans, A Pollard, C Smith, S Flegel, ... Proceedings of the 2019 AMOS conference, Maui, HI, USA, 17-20, 2019 | 4 | 2019 |
| Progress in a new conjunction and threat warning service for Space Situational Awareness JC Bennett, M Lachut, D Kucharski, SK Flegel, M Möckel, J Allworth, ... Proceedings of the 19th Advanced Maui Optical Space Surveillance …, 2018 | 3 | 2018 |
| Photometric Analysis of Rotating Rocket Bodies through Ground-Based Optical Observations J Allworth, M Bryson, L Windrim, J Bennett, J Wardman 43rd COSPAR Scientific Assembly. Held 28 January-4 February 43, 2194, 2021 | | 2021 |
| Prediction accuracy analysis from orbital elements generated for a new space object catalogue J Bennett, M Lachut, B Greene, S Gehly, D Kooymans, J Allworth, ... Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 17, 2017 | | 2017 |
