%0 Generic
%A Boni, Andrea
%A Conci, Massimo
%A Massa, Andrea
%A Piffer, Stefano
%D 2010
%F elediasc12:490
%I University of Trento
%T On The Use Of SVM For Electromagnetic Subsurface Sensing
%U http://www.eledia.org/students-reports/490/
%X In this paper, a classification approach for the real-time identification of “occupation” areas (instead of the detection of each subsurface object) in sub-surface sensing applications is applied. A suitable SVM-based strategy is developed for determining the probability of occurrence of buried targets and to define a “risk map” of the investigation domain. To assess the effectiveness of the proposed approach and to evaluate its robustness, selected numerical results related to a two-dimensional geometry are presented.