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Josh Veitch-Michaelis
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ultralytics/yolov3
G Jocher
Ttayu, Josh Veitch-Michaelis, Gabriel Bianconi, Fatih Baltacı, Daniel Suess …, 2019
963*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
1292021
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
582019
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
382018
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
192020
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
152016
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
142024
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
142023
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
112019
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
102018
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
82015
Assessing the influence of one astronomy camp over 50 years
HS Dalgleish, JL Veitch-Michaelis
Nature Astronomy 3 (12), 1043-1047, 2019
72019
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
62023
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
62016
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
32020
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
32016
An update on the development of ASPIRED
MC Lam, RJ Smith, J Veitch-Michaelis, IA Steele, PR McWhirter
arXiv preprint arXiv:2012.03505, 2020
22020
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
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Articles 1–20