Low rank reconstruction algorithm for ground penetrating radar linear inverse imaging

In recent years, low rank matrix theory becomes one of the research hotspots in the image processing field. In this report, we construct a linear equation via born approximation for the electromagnetic inverse scattering problem, then solve the linear equation with Low Rank Constraint. The low rank matrix representation is applied to quickly and precisely reconstruct the low rank data matrix in GPR imaging. Simulation results and performance analysis show that Low Rank Reconstruction helps to reduce the memory space and computational complexity in GPR imaging.