Ryugu spectral surface regions via unsupervised machine learning classification of NIRS3 data
Abstract
The Japanese Hayabusa2 space mission approached the Near-Earth asteroid 162173 Ryugu in June 2018. Since then, it is taking data and mapping in detail the asteroid surface, finding a very dark and boulder rich asteroid with very homogenous spectral reflectance properties in the near IR. Statistical and machine learning tools are applied on NIRS3 spectrometer data to explore them and search for structure embedded in the data and study their characteristics and correlation with geomorphological structures.
- Publication:
-
EPSC-DPS Joint Meeting 2019
- Pub Date:
- September 2019
- Bibcode:
- 2019EPSC...13..641P