Wavelet based clutter reduction of GPR data

Abstract

Detection and location of buried low/non metallic mines is done using electromagnetic waves penetration through these objects. The reflections of the buried objects are covered by the clutters reflected from the ground. Hence, it is tough in extracting object signal from the received GPR data. In this part of work to reduce clutter, a signal processing technique based on the discrete wavelet transform (DWT) is implemented. We have considered various cases and conducted experiments for targets at different depths. The processed output clearly indicates that by using this method, the peak signal-to-noise ratio (PSNR) of detection data is significantly improved over a particular level of wavelet.