Applying non-iterative phase errors compensation method to restore radar subsurface image

In this paper we describe a non iterative approach to evaluate and compensate the phase errors of radar subsurface image, and implement the approach to the images based on the MARSIS (Mars Advance Radar for Subsurface and Ionosphere Sounding) data. The main idea of the approach is to build the relationship by phase error vector between the unknown perfect image and a given phase-corrupted image, use the no return area in the perfect image as the constraint condition or known condition to solve out the phase errors vector directly.