TY  - UNPB
AV  - public
PB  - University of Trento
ID  - elediasc12490
A1  - Boni, Andrea
A1  - Conci, Massimo
A1  - Massa, Andrea
A1  - Piffer, Stefano
N2  - 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.
TI  - On The Use Of SVM For Electromagnetic Subsurface Sensing
UR  - http://www.eledia.org/students-reports/490/
Y1  - 2010/01//
ER  -