Super-resolution Processing of SAR Images by Match Pursuit Method Based on Fourier Dictionary

In this paper, we extend the application of the March Pursuit method to SAR super-resolution processing. Firstly, based on the SAR attributed scattering model, a Fourier dictionary with fast implicit algorithm is constructed in phase history domain. Secondly, with given dictionary the representation coefficient is got by Orthogonal March Pursuit algorithm. Thirdly, in light of the fast implicit algorithm of Fourier dictionary, By IFFT to the coefficient, larger scale phase history data is built. Finally, By IFFT to the larger scale phase history data, higher resolution image is obtained. Simulation experiments and computational results of measured MSTAR data demonstrate that March Pursuit based on Fourier dictionary can be implemented speedy and stably, it can provide super-resolution at the same time.