Recent Advances on the Use of Kernel-Based Learning-By-Examples Techniques for Electromagnetic Subsurface Sensing

Electromagnetic approaches based on learning-rom-samples(LFS) techniques [1] have been proposed for the on-line [after the learning process (or training phase) performed once and off-line] detection of subsurface objects.