SAR data compressing and reconstructing method for sea scene target based on compressed sensing

The compressed sensing theory(a new data compressing and reconstructing theory)is utilized in this paper to solve the issue of huge SAR data compressing and reconstructing for sea scene target.Firstly,random Gaussian noise matrix is designed as a measurement matrix to complete data compressing.Secondly,smooth L0(SL0)algorithm is utilized to reconstruct original signal.On the basis of that,traditional frequency scaling(FS)algorithm is carried out to obtain the final SAR image.The effectiveness of the proposed method can be proved by simulation results.