The invention pertains to the technical field of polarization type SAR super-resolution imaging, and particularly relates to a complete polarization type SAR super-resolution imaging method based on distributed compressed sensing. The complete polarization type SAR super-resolution imaging method based on distributed compressed sensing comprises the following steps: a complete polarization type synthetic aperture radar signal model is established; a synthetic aperture radar backscattering coefficient matrix is obtained according to backscattering echo data received by each polarization channel; an optimization problem model of the synthetic aperture radar backscattering coefficient matrix is established by adopting a distributed compressed sensing algorithm; the optimization problem of the synthetic aperture radar backscattering coefficient matrix is solve to obtain the synthetic aperture radar backscattering coefficient matrix; the super-resolution imaging process is performed on each polarization channel according to the synthetic aperture radar backscattering coefficient matrix to obtain a corresponding pseudo-color image; and pseudo-color fusion is performed on the pseudo-color image corresponding to each polarization channel to obtain a pseudo-color fused image.