Technical Program

Paper Detail

Paper: MOP2.PT.8
Session: Big Machine Learning II
Time: Monday, July 23, 15:50 - 16:50
Presentation:  Poster
Topic:  Special Themes: Big machine learning in remote sensing
Title:  COMBINING FOURIER ANALYSIS AND MACHINE LEARNING TO ESTIMATE THE SHALLOW-GROUND THERMAL DIFFUSIVITY IN SWITZERLAND
Authors:  Dan Assouline; Ecole Polytechnique Federale de Lausanne (EPFL) 
 Nahid Mohajeri; University of Oxford 
 Agust Gudmundsson; Royal Holloway University of London 
 Jean-Louis Scartezzini; Ecole Polytechnique Federale de Lausanne (EPFL)