Filtering out Antenna Effects From GPR Data by an RBF Neural Network.

IEEE Geoscience and Remote Sensing Letters(2019)

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摘要
When sounding pavement layers using ground penetrating radar (GPR), antenna effects including dispersion and multiple reflections usually degrade the vertical resolution. In far-field conditions, these effects can be analytically filtered out by a linear method. However, for near-field operation, the antenna model tends to be nonlinear, and thus, these unwanted effects cannot be analytically remov...
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关键词
Ground penetrating radar,Radial basis function networks,Radar antennas,Training data,Green's function methods,Aperture antennas
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