Pluto surface composition from spectral model inversion with metaheuristics
Abstract
We present first quantitative results for the composition of Pluto's surface from New Horizons LEISA data, achieved using radiative transfer model inversion via progressive metaheuristic methods. We discuss the implications of these results as regards other New Horizons datasets for Pluto's surface, and introduce new methods for pixel-by-pixel mapping and segmentation in order to create a global quantitative compositional map.
- Publication:
-
EPSC-DPS Joint Meeting 2019
- Pub Date:
- September 2019
- Bibcode:
- 2019EPSC...13..968G