In this paper, an experimental assessment of the linear sampling method (LSM) on the Georgia Institute of Technology multi-frequency multistatic dataset is proposed. The employed approach belongs to the class of linear, qualitative approaches, which seems to be quite promising due to the low computational complexity. Such a method only involves a singular value decomposition (SVD) of the scattering matrix, and this feature, together with its ease of implementation, make it a good candidate for the use in several practical applications.

Experimental Multistatic Imaging VIA the Linear Sampling Method / Ambrosanio, M.; Bevacqua, M. T.; Isernia, T.; Pascazio, V.. - (2019), pp. 3586-3589. [10.1109/igarss.2019.8897877]

Experimental Multistatic Imaging VIA the Linear Sampling Method

Bevacqua, M. T.;Isernia, T.;
2019-01-01

Abstract

In this paper, an experimental assessment of the linear sampling method (LSM) on the Georgia Institute of Technology multi-frequency multistatic dataset is proposed. The employed approach belongs to the class of linear, qualitative approaches, which seems to be quite promising due to the low computational complexity. Such a method only involves a singular value decomposition (SVD) of the scattering matrix, and this feature, together with its ease of implementation, make it a good candidate for the use in several practical applications.
2019
Ground penetrating radar (GPR)
multiview-multistatic radar
inverse scattering
microwave imaging
subsurface signal processing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/151707
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