| Feature-Based Satellite Detection Using Convolutional Neural Networks J Fletcher, I McQuaid, P Thomas, J Sanders, G Martin Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2019 | 32 | 2019 |
| Machine learning for quality assessment of ground-based optical images of satellites T Kyono, J Lucas, M Werth, B Calef, I McQuaid, J Fletcher Optical Engineering 59 (5), 051403-051403, 2020 | 22 | 2020 |
| Automated interpretability scoring of ground-based observations of leo objects with deep learning J Lucas, M Werth, T Kyono, I McQuaid, J Fletcher 2020 IEEE Aerospace Conference, 1-7, 2020 | 14* | 2020 |
| Space Object Identification using Deep Neural Networks JF Ian McQuaid, Laurence Merkle, Brett Borghetti, Richard Cobb Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2018 | 14 | 2018 |
| Spectranet: Learned recognition of artificial satellites from high contrast spectroscopic imagery JZ Gazak, I McQuaid, R Swindle, M Phelps, J Fletcher Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 13 | 2022 |
| Inferring space object orientation with spectroscopy and convolutional networks M Phelps, JZ Gazak, T Swindle, J Fletcher, I Mcquaid AMOS (Sept. 2021) 3, 2021 | 12 | 2021 |
| SatSim: a synthetic data generation engine for electro-optical imagery of resident space objects A Cabello, J Fletcher Sensors and Systems for Space Applications XV 12121, 53-74, 2022 | 11 | 2022 |
| Toward deep-space object detection in persistent wide field of view camera arrays G Fitzgerald, Z Funke, A Cabello, V Asari, J Fletcher Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2021 | 11 | 2021 |
| SILO: A Machine Learning Dataset of Synthetic Ground-Based Observations of LEO Satellites M Werth, J Lucas, T Kyono, I McQuaid, J Fletcher 2020 IEEE Aerospace Conference, 1-8, 2020 | 11 | 2020 |
| Exploiting Spatial Information in Raw Spectroscopic Imagery using Convolutional Neural Networks JZ Gazak, R Swindle, I McQuaid, J Fletcher Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2020 | 11 | 2020 |
| Determining Multi-frame Blind Deconvolution Resolvability using Deep Learning T Kyono, J Lucas, M Werth, I McQuaid, J Fletcher Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2019 | 9 | 2019 |
| Learned event-based visual perception for improved space object detection N Salvatore, J Fletcher Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 8 | 2022 |
| Deep learning application engine (DLAE): Development and integration of deep learning algorithms in medical imaging JW Sanders, JR Fletcher, SJ Frank, HL Liu, JM Johnson, Z Zhou, ... SoftwareX 10, 100347, 2019 | 8 | 2019 |
| Estimating Satellite Orientation through Turbulence with Deep Learning J Lucas, T Kyono, M Werth, N Gagnier, Z Endsley, I McQuaid, J Fletcher Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2019 | 8 | 2019 |
| The small-ELF project: Toward an ultra-large coronagraphic optical receiver J Kuhn, JF Capsal, I Cunnyngham, M Langlois, K Lewis, N Lodieu, ... Ground-Based and Airborne Telescopes IX 12182, 161-184, 2022 | 7 | 2022 |
| The Dynamic Optical Telescope System: Collaborative Autonomous Sensing for Space Domain Awareness J Fletcher, D Archambeault, J Schmidt, R Peterson, P Sydney, S Hunt Journal of Defense Research and Engineering (JDR&E) 4 (3), 10-18, 2021 | 7 | 2021 |
| Slitless field spectroscopy for learned simultaneous object detection and recognition P Thomas, JZ Gazak, R Swindle, Z Funke, J Fletcher Algorithms, Technologies, and Applications for Multispectral and …, 2022 | 6 | 2022 |
| Incremental learning of novel resident space object spectral fingerprints JZ Gazak, I McQuaid, B Wolfson, J Fletcher Proceedings of AMOS Tech Conference, 2021 | 6 | 2021 |
| Quality-Weighted Iterative Deconvolution (QWID) M Werth, T Kyono, J Lucas, I McQuaid, M Brannon, J Fletcher Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2020 | 6 | 2020 |
| Semantic segmentation of low earth orbit satellites using convolutional neural networks J Yang, J Lucas, T Kyono, M Abercrombie, AV Berg, J Fletcher 2022 IEEE Aerospace Conference (AERO), 1-13, 2022 | 5 | 2022 |
Trent KyonoFacebook; University of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Trent KyonoFacebook; University of California, Los Angeles在 ucla.edu 的电子邮件经过验证
Jacob LucasStaff Systems Engineer, Acubed在 airbus-sv.com 的电子邮件经过验证