InSAR Signal Sparse Sampling and Processing Based on Compressed Sensing

A novel Interferometric SAR (InSAR) sparse sampling and signal processing method based on compressed sensing (CS) is investigated in this paper. The method uses the interferometric technique to cancel the random phase of each scattering cell, which makes the SAR images become sparse in the frequency domain. Exploiting this sparsity, the signal random sparse sampling can be achieved during the data acquisition and the CS theory can be introduced into the signal processing and implements scene reconstruction. Results on simulated data and real data show the good performance of the proposed method.