Interactive Gaussian Graphical Models for Discovering Depth Trends in ChemCam Data
Abstract
Interactive Gaussian graphical models discover surface compositional features on rocks in ChemCam targets. Our approach visualizes shot-to-shot relationships among LIBS observations, and identifies the wavelengths involved in the trend.
- Publication:
-
Planetary Science Informatics and Data Analytics Conference
- Pub Date:
- April 2018
- Bibcode:
- 2018LPICo2082.6060O