By using synthetic aperture methods for Ground Penetrating Radar (GPR), subsurface structural images are
reconstructed from spatial and temporal two-dimensional images that are known as B-Scope images. The spatial and
temporal coordinates in B-Scope images correspond to the horizontal position on the surface and the propagation time of
the reflected waveforms from the buried object. The synthetic aperture methods visualize buried objects by deconvolving
the B-Scope image with the transfer function of the reflected waveforms. Based on the characteristic that the transfer
function continuously changes with depth, the authors proposed an algorithm for suppressing the ill effect of the change
of the transfer function to enhance the reconstructed images. When applying the deconvolution of the B-Scope images
and the transfer function, the B-Scope images are divided into several sectors in the depth direction based on the amount
of the change of the transfer function, which is defined for respective sectors. Experimental results demonstrated the
effectiveness of the proposed algorithm.
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