Enhancement Of Ground Penetrating Radar Data Through Signal Processing

Abstract

Recently collected ground penetrating radar (GPR) data from a former lumber mill waste site<br>near Boise, Idaho have proven to be a useful reconnaissance aid for delineating possible areas of<br>fill from surrounding fluvial sediments. Several lines of data were collected at coincident stations<br>using antennas with central frequencies of 50, 100, 200 MHz. Some ambiguities exist in the interpretation<br>of the original 200 MHz data due to lack of a distinct fill signature in the data processed<br>with standard seismic processing techniques. We present here an effort to enhance the original<br>GPR data through air wave removal, bandwidth enhancement, and cross-correlation analyses. In<br>general, these analyses appear to improve the usefulness of the data and in some environments<br>may become standard techniques for future GPR data collection and processing.