Jamrozik, M. L., Gaudilliere, V., Mohamed Ali, M. A., & Aouada, D. (2023). Space Debris: Are Deep Learning-based Image Enhancements part of the Solution? Proceedings International Symposium on Computational Sensing. Peer reviewed |
Shneider, C., Sinha, N., Jamrozik, M. L., Astrid, M., Rostami Abendansari, P., Kacem, A., Shabayek, A. E. R., & Aouada, D. (19 April 2023). Compression of Deep Neural Networks for Space Autonomous Systems [Poster presentation]. Luxembourg Space Resources Week 2023, Luxembourg, Luxembourg. doi:10.5281/zenodo.7931156 |
Jamrozik, M. L., Tabibi, S., van Dam, T., & Thoemel, J. (2022). The GOLDCREST mission and the on-board computing requirements necessary to generate the delay-Doppler maps required to determine soil moisture content. In Proceedings of the 73rd International Astronautical Congress. Paris, France: International Astronautical Federation. |
Jamrozik, M. L., Gaudilliere, V., Mohamed Ali, M. A., & Aouada, D. (2022). Image Enhancement for Space Surveillance and Tracking. In M. L. Jamrozik, V. Gaudilliere, M. A. Musallam, ... D. Aouada, Proceedings of the 73rd International Astronautical Congress. Paris, France: International Astronautical Federation. |
Ortiz Del Castillo, M., Mohamed Ali, M. A., Jamrozik, M. L., Gaudilliere, V., & Aouada, D. (September 2021). Deep Learning-based Image Enhancement for Space Applications [Paper presentation]. ESA EO Φ-WEEK. |
Jamrozik, M. L. (2021). Image Enhancement for Space Surveillance and Tracking [Bachelor/master dissertation, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54471 |