In this work, a classification approach for three-dimensional subsurface sensing has been presented. The approach is based on a SVM-based classification algorithm for defining an occupancy map of the area under investigation. In order to deal with 3D scenarios, allowing a suitable spatial resolution without adding further measurements or processing, the algorithm has been integrated into a multi-step zooming procedure. The potentialities of the proposed approach have been assessed by means of a numerical validation with blurred synthetic data. Although preliminary, the obtained results suggest that an extension to real on-line 3D cases is worth to be pursued.

Three dimensional electromagnetic sub-surface sensing by means of a multi-step SVM-based classification technique

Donelli, Massimo;Benedetti, Manuel;Rocca, Paolo;Melgani, Farid;Massa, Andrea
2007-01-01

Abstract

In this work, a classification approach for three-dimensional subsurface sensing has been presented. The approach is based on a SVM-based classification algorithm for defining an occupancy map of the area under investigation. In order to deal with 3D scenarios, allowing a suitable spatial resolution without adding further measurements or processing, the algorithm has been integrated into a multi-step zooming procedure. The potentialities of the proposed approach have been assessed by means of a numerical validation with blurred synthetic data. Although preliminary, the obtained results suggest that an extension to real on-line 3D cases is worth to be pursued.
2007
2007 IEEE Antennas and Propagation International Symposium
Piscataway, N.J.
IEEE
Donelli, Massimo; Benedetti, Manuel; Rocca, Paolo; Melgani, Farid; Massa, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/77989
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