SVD-Based clutter removal technique for gpr

The main goal of this contribution is to present a clutter reduction technique for Ground Penetrating Radar (GPR) imaging. The proposed technique is based on a subspace projection method applied to the focused Synthetic Aperture Radar (SAR) image. It consists of decomposing the image in its different eigenimages and classifying them as belonging to clutter, target or noise subspaces. Several scenarios have been simulated in order to test this technique and its performance has been measured analyzing the variation in the Signal-to-Clutter Ratio (SCR). In addition, it has been compared with background subtraction and other subspace projection methods.