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.
On The Use Of SVM For Electromagnetic Subsurface Sensing / Boni, Andrea; Massa, Andrea; Piffer, Stefano; Conci, Massimo. - ELETTRONICO. - (2011).
On The Use Of SVM For Electromagnetic Subsurface Sensing
Boni, AndreaPrimo
;Massa, Andrea
Penultimo
;Conci, MassimoSecondo
2011-01-01
Abstract
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.File | Dimensione | Formato | |
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