Joint Surface Topography And Dielectric Surface Permittivity Reconstruction Using Planetary Sounding Radar Data

With the development of human space technology,human beings have expanded their exploration of other planets in the solar system.Space borne ground penetrating radars have emerged has an effective instrument to probe planetary interiors.Its unique ability to remotely recover information from the subsurface provides crucial information for structural geology,geophysics and planetary geosciences in general.Most of the recorded signal power from space borne radars is due to planetary surface backscattering.Since the surface structure of the planet is usually complicated and poorly known at the radar wavelength scale,it is necessayr to properly account for it in radar data processing.My work mainly studies a method to reconstruct the dielectric permittivity of planetary surfaces in conjunction with the topography.First,I introduce the theoretical background which includes the forward model and the inverse model.Then,I discuss the possibility to use Metropolis algorithm to estimate the posterior probability density on the surface dielectric permittivity and topography.