Ground penetrating radar image enhancement using singular value decomposition

Singular value decomposition and Fuzzy C-Means based clutter reduction is proposed for ground penetrating radar imaging. The scheme is capable of discriminating target, clutter and noise subspaces. The overlapping boundaries of clutter, noise and target signals are separated using fuzzy c-means and target image is obtained by weighted sum of different spectral components. Proposed scheme works also for extracting multiple targets in heavy cluttered images. Simulation results are compared on the basis of mean square error, peak signal to noise ratio and visual inspection.