Hyperspectral imaging for the evaluation of lithology and the monitoring of hydrocarbons in environmental samples

Mohamad Dhaini (1, 2) , François-Joseph Roudaut (2) , Antonin Garret (2) , Ronan Arzur (2) , Audrey Chereau (2) , Fanny Buhler-Varenne (2) , Paul Honeine (1) , Mélanie Mignot (3) , Antonin van Exem (2)

1 DocApp - LITIS - Equipe Apprentissage
2 TELLUX
3 COBRA - Chimie Organique et Bioorganique : Réactivité et Analyse

Domains: Statistics [stat]; Machine Learning [stat.ML]; Engineering Sciences [physics]; Signal and Image processing; Mathematics [math]; Statistics [math.ST]; Computer Science [cs]; Signal and Image Processing; Computer Science [cs]; Neural and Evolutionary Computing [cs.NE]; Computer Science [cs]; Machine Learning [cs.LG]; Computer Science [cs]; Computers and Society [cs.CY]; Computer Science [cs]; Computer Vision and Pattern Recognition [cs.CV]; Computer Science [cs]; Artificial Intelligence [cs.AI]

Mohamad Dhaini, François-Joseph Roudaut, Antonin Garret, Ronan Arzur, Audrey Chereau, et al.. Hyperspectral imaging for the evaluation of lithology and the monitoring of hydrocarbons in environmental samples. RemTech (International event on Remediation, Coasts, Floods, Climate, Seismic, Regeneration Industry), Sep 2021, Ferrara, Italy. . ⟨hal-03410722⟩