On the application of the Stockwell transform to GPR data analysis

For most archaeological prospections with GPR, target detection is the most important aspect of the surveys. The main efforts of GPR data processing are committed to increase the signal to noise ratio in radargrams. The usual processing aims to: filter the radar section from clutters and attenuate the in-band noises; enhance coherent reflections that are likely due to the target response; transform the acquired time section into a depth section; build a 3D image of the reflection targets in the subsoil by correlating reflections from adjacent radargrams. In this paper we show some application of the Stockwell transform, both to synthetic and field data, to enhance the signal to noise ratio in radargrams.