Application of ground-penetrating radar based on U-Net in the statistics on the bonded area of external wall insulation

The insulation of external walls of buildings often suffers from various diseases. Therefore, it is necessary to accurately detect the bonding area of the insulation layer. Ground-penetrating radar is a non-destructive detection method that can effectively determine the bonding status. In this paper, FDTD forward simulation of the exterior wall insulation layer by ground-penetrating radar is carried out, and the GPR images of the 4GHZ and 6GHZ antennas are simulated, respectively, and field experiments are conducted to collect the stepped frequency vector net data of 2.5-8GHZ and 6-8GHZ. The data obtained are processed by using the improved SP-ICA clutter suppression algorithm, followed by the improved loss function of the U-Net and training. The F1_score of the obtained model can reach 0.8399, and the error of bonding area statistics is 0.23%, which realizes more accurate semantic segmentation and area statistics.