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.

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 725208 (19 January 2009); doi: 10.1117/12.805421

Published in SPIE Proceedings Vol. 7252:
Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)