| ultralytics/yolov3 G Jocher Ttayu, Josh Veitch-Michaelis, Gabriel Bianconi, Fatih Baltacı, Daniel Suess …, 2019 | 882* | 2019 |
| Towards global flood mapping onboard low cost satellites with machine learning G Mateo-Garcia, J Veitch-Michaelis, L Smith, SV Oprea, G Schumann, ... Scientific reports 11 (1), 7249, 2021 | 118 | 2021 |
| Requirements and limitations of thermal drones for effective search and rescue in marine and coastal areas C Burke, PR McWhirter, J Veitch-Michaelis, O McAree, HAG Pointon, ... Drones 3 (4), 78, 2019 | 55 | 2019 |
| Massive stereo-based DTM production for Mars on cloud computers Y Tao, JP Muller, P Sidiropoulos, ST Xiong, ARD Putri, SHG Walter, ... Planetary and Space Science 154, 30-58, 2018 | 38 | 2018 |
| The WAGGS project-III. Discrepant mass-to-light ratios of Galactic globular clusters at high metallicity H Dalgleish, S Kamann, C Usher, H Baumgardt, N Bastian, ... Monthly Notices of the Royal Astronomical Society 492 (3), 3859-3871, 2020 | 19 | 2020 |
| Crack detection in" as-cast" steel using laser triangulation and machine learning J Veitch-Michaelis, Y Tao, D Walton, JP Muller, B Crutchley, J Storey, ... 2016 13th Conference on Computer and Robot Vision (CRV), 342-349, 2016 | 15 | 2016 |
| In situ estimation of ice crystal properties at the South Pole using LED calibration data from the IceCube Neutrino Observatory R Abbasi, M Ackermann, J Adams, N Aggarwal, J Aguilar, M Ahlers, ... The Cryosphere 18 (1), 75-102, 2024 | 12 | 2024 |
| In-orbit demonstration of a re-trainable machine learning payload for processing optical imagery G Mateo-García, J Veitch-Michaelis, C Purcell, N Longepe, S Reid, ... Scientific Reports 13 (1), 10391, 2023 | 10 | 2023 |
| Ionized gas kinematics in bipolar H ii regions HS Dalgleish, SN Longmore, T Peters, JD Henshaw, JL Veitch-Michaelis, ... Monthly Notices of the Royal Astronomical Society 478 (3), 3530-3543, 2018 | 10 | 2018 |
| Flood detection on low cost orbital hardware G Mateo-Garcia, S Oprea, L Smith, J Veitch-Michaelis, G Schumann, ... Artificial Intelligence for Humanitarian Assistance and Disaster Response …, 2019 | 8 | 2019 |
| Data fusion of lidar into a region growing stereo algorithm J Veitch-Michaelis, JP Muller, J Storey, D Walton, M Foster The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 8 | 2015 |
| Assessing the influence of one astronomy camp over 50 years HS Dalgleish, JL Veitch-Michaelis Nature Astronomy 3 (12), 1043-1047, 2019 | 7 | 2019 |
| Enhancement of stereo imagery by artificial texture projection generated using a LIDAR J Veitch-Michaelis, JP Muller, D Walton, J Storey, M Foster, B Crutchley The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 6 | 2016 |
| Automated SpectroPhotometric Image REDuction (ASPIRED) MC Lam, RJ Smith, I Arcavi, IA Steele, J Veitch-Michaelis, L Wyrzykowski The Astronomical Journal 166 (1), 13, 2023 | 4 | 2023 |
| Learnings from Frontier Development Lab and SpaceML--AI Accelerators for NASA and ESA S Ganju, A Koul, A Lavin, J Veitch-Michaelis, M Kasam, J Parr arXiv preprint arXiv:2011.04776, 2020 | 3 | 2020 |
| An optimised system for generating multi-resolution DTMs using NASA MRO datasets Y Tao, JP Muller, P Sidiropoulos, J Veitch-Michaelis, V Yershov The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016 | 3 | 2016 |
| An update on the development of ASPIRED MC Lam, RJ Smith, J Veitch-Michaelis, IA Steele, PR McWhirter arXiv preprint arXiv:2012.03505, 2020 | 2 | 2020 |
| Automated SpectroPhotometric Image REDuction (ASPIRED)--A Python-based spectral data reduction toolkit MC Lam, RJ Smith, I Arcavi, IA Steele, J Veitch-Michaelis, L Wyrzykowski arXiv e-prints, arXiv: 2111.02127, 2021 | | 2021 |
| Astronomy camps as a long-term, successful engagement practice M Archipley, H Dalgleish, J Veitch-Michaelis American Astronomical Society Meeting Abstracts 53 (1), 412.04, 2021 | | 2021 |
| Rascal J Veitch-Michaelis, M Lam Zenodo, 2020 | | 2020 |
Jan-Peter MullerProfessor of Image understanding and remote sensing, University College LondonDirección de correo verificada de ucl.ac.uk
