A SAR imaging method based on $L_{p}$ and TV composite norm regularization

Abstract

Benefiting from the advantages of sparse signal recovery, SAR imaging methods based on sparse signal recovery can achieve low sampling rates and high resolutions, and have developed rapidly in recent years. However, most of the currently proposed imaging methods cannot suppress the coherent speckles in SAR images. As we know, the recovery methods based on TV norm minimization can increase the continuity and is widely used in image denoising field. Therefore, following the idea of range doppler algorithm, this paper adopts sparse signal recovery for azimuth compression and proposes a SAR imaging method based on $L_{p}$ and TV norm regularization. The proposed method can combine the high resolution, low sidelobes of $L_{p}$ norm minimization and the noise suppression of TV norm minimization to obtain high quality SAR images.