An innovative real-time technique for buried object detection

نویسندگان

  • Emanuela Bermani
  • Andrea Boni
  • Salvatore Caorsi
  • Andrea Massa
چکیده

In this paper, a new on-line inverse scattering methodology is proposed. The original problem is recast into a regression estimation one and successively solved by means of a support vector machine (SVM). Although the approach can be applied to various inverse scattering applications, it results very suitable to deal with the buried object detection. The application of SVMs to the solution of such kind of problems is firstly illustrated. Then, some examples, concerning the localization of a given object from scattered field data acquired at a number of measurement points, are presented. The effectiveness of the SVM method is evaluated also in comparison with classical neural networks (NNs) based approaches. Index Terms Buried objects, real-time detection, support vector machines, inverse scattering problems.

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عنوان ژورنال:
  • IEEE Trans. Geoscience and Remote Sensing

دوره 41  شماره 

صفحات  -

تاریخ انتشار 2003