26 citations · 78 across the 10 of their papers we have counts for
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astro-ph.EP2023★ 10 cited
(433) Eros and (25143) Itokawa surface properties from reflectance spectra
David Korda, Tomáš Kohout, Kateřina Flanderová +2
Context. Upcoming space missions will provide us with surface-resolved NEA reflectance spectra. Neural networks are useful tools for analysing reflectance spectra and determining m…
astro-ph.EP2022★ 14 cited
Neural network for determining an asteroid mineral composition from reflectance spectra
David Korda, Antti Penttilä, Arto Klami +1
Chemical and mineral compositions of asteroids reflect the formation and history of our Solar System. This knowledge is also important for planetary defence and in-space resource u…