Machine learning tools to produce 3D shape models of asteroids from radar observations
- ADS bibcode
- 2019AGUFM.P43E3513B
- year
- 2019
- Listed Authors
- Busch, M.
- Rożek, A.
- Marshall, S.
- Young, G. C.
- Cobb, A. D.
- Raïssi, C.
- Gal, Y.
- Benner, L.
- Taylor, P. A.
- Lowry, S.
- Listed Institutions
- SETI Institute Mountain View, Mountain View, CA, United States
- Center for Astrophysics and Planetary Science, University of Kent, Kent, CT2, United Kingdom
- Arecibo Observatory, Arecibo, PR, United States
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
- Institut National de Recherche en Informatique et en Automatique, France, France
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
- JPL/Caltech, Pasadena, CA, United States
- Lunar and Planetary Institute, Houston, TX, United States
- Center for Astrophysics and Planetary Science, University of Kent, Canterbury, United Kingdom
Linked Authors [?]
Linked Institutions