Fast Efficiency Googlenet using GPR Signal Processing

Ground Penetrating Radar (GPR) is a geophysical locating method that uses radio waves to capture images under the ground's surface in a least invasive way. Non-destructive testing relies heavily on the localisation and reconstruction of subsurface targets, as well as the calculation of object position and form utilising Ground Penetration Radar (GPR). In this design, the raw GPR data must be pre-processed. This data is then denoised using the DWT transform, and time- frequency data is processed with Fast efficient Googlenet. This approach applies the idea of global relative optimality from fast efficient deep learning to overcome the limitations of traditional algorithms that concentrate on extracting absolute features and therefore improving accuracy.