Sea super-resolution imaging method based on Webpoll-generalized Gaussian

The invention discloses a sea super-resolution imaging method based on Webpoll-generalized Gaussian. The sea super-resolution imaging method based on Webpoll-generalized Gaussian comprises the following steps: step 1, constructing an azimuth echo convolution model; 2, constructing a clutter distribution model for the sea clutter background based on Webpoll distribution; 3, constructing a target prior information distribution model for the sea surface target by adopting generalized Gaussian distribution; step 4, under a Bayesian framework, based on a maximum posteriori criterion, constructing an objective function; and 5, solving the target function by using a Newton iteration method to obtain a target scattering coefficient iterative solution. According to the method, the characteristic that the Webpoll distribution conforms to the sea clutter characteristic and the advantage that the generalized Gaussian distribution can adjust the distribution shape are utilized, scene clutter distribution and target distri