Subsurface imaging using spectral methods

Considered in this paper is the spectral method of restoring of subsurface objects´ geometry (bi-variate case). The method is based on the use of a convolution algorithm and measuring of spatial samples of the scattered electromagnetic field with consequent conversion into spatial frequencies domain. The numerical simulation of image restoration was carried out (for direct problem solution the FDTD method was used). The approach presented in this paper is the first stage of definition of electrophysical and geometrical parameters of subsurface objects, as it allows the narrowing of the class of restored objects and their parameters.