Machine Learning and Deep Learning for retro-observation of Critical Zone processes with hyperspectral imaging
- Resource Type
- Authors
- Jacq, Kevin; Humbert, Kevin; Sanon, Dô Ambroise Judicaël; Auboiron, Jeanne; Gardes, Thomas; Fanget, Bernard; Benoit, A; Coquin, Didier; Sabatier, Pierre; Portet-Koltalo, F.; Perrette, Yves; Arnaud, Fabien; Debret, Maxime
- Source
- OZCAR TERENO International Conference
OZCAR TERENO International Conference, Oct 2021, Strasbourg, France
- Subject
- [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
[CHIM.ANAL]Chemical Sciences/Analytical chemistry
[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry
[SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/Stratigraphy
[SDE]Environmental Sciences
ComputingMilieux_MISCELLANEOUS
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
[SDU.STU.MI]Sciences of the Universe [physics]/Earth Sciences/Mineralogy
- Language
- English