Buried Wire Detection and Clustering Algorithm with Ground Penetrating Radar

Improvised explosive devices (IEDs) have recently become a considerable national security concern for governments due to their increased use. Since IEDs do not particular shape, detecting and classifying becomes complex problem. Due the irregularity of wire recent research focuses on command wire, which is triggering mechanism in IEDs. This study proposes detection clustering algorithm detection. The synthetic data were generated using gprMax software, an open-source Finite-Difference Time-Domain (FDTD) simulation environment. Different clutter orientations simulated while creating 2D GPR database. Three different prescreening algorithms are compared concerning computational time signal-to-noise ratio. Go Decomposition (GoDec) method was used at preprocessing stage. Discriminating buried from conducted k-means method. proposed results show promising outcomes over C-scans.