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- W2766672148 abstract "This work presents an innovative computational approach for the inversion of wideband ground penetrating radar (GPR) data. The retrieval of the dielectric characteristics of sparse scatterers buried in a lossy soil is performed by combining a multi-task Bayesian compressive sensing (MT-BCS) solver and a frequency hopping (FH) strategy. The developed methodology is able to benefit from the regularization capabilities of the MT-BCS as well as to exploit the multi-chromatic informative content of GPR measurements. A set of numerical results is reported in order to assess the effectiveness of the proposed GPR inverse scattering technique, as well as to compare it to a simpler single-task implementation." @default.
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- W2766672148 date "2017-10-01" @default.
- W2766672148 modified "2023-09-26" @default.
- W2766672148 title "A compressive sensing-based computational method for the inversion of wide-band ground penetrating radar data" @default.
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- W2766672148 doi "https://doi.org/10.1088/1742-6596/904/1/012002" @default.
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