Kernels Evaluation of Svm-Based Estimators for Inverse Scattering Problems

Bermani, Emanuela and Boni, Andrea and Kerhet, Aliaksei and Massa, Andrea (2004) Kernels Evaluation of Svm-Based Estimators for Inverse Scattering Problems. UNSPECIFIED.

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    Buried object detection by means of microwave-based sensing techniques is faced in biomedical imaging, mine detection etc. Whereas conventional methods used for such a problem consist in solving nonlinear integral equations, this work considers a recently proposed approach based on Support Vector Machines, the techniques that proved to be theoretically justified and effective in real world domains. Simulation is carried out on synthetic data generated by Finite Element code and a PML technique; noisy environments are considered as well. Results obtained for cases of polynomial and Gaussian kernels are presented and discussed.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
    T Technology > TA Engineering (General). Civil engineering (General) > TA329 Engineering mathematics
    Uncontrolled Keywords: Support Vector Machines, Statistical Learning, Microwave Inverse Scattering, Model Selection.
    Report Number: DIT-04-062
    Repository staff approval on: 03 Dec 2004

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