Super-resolution SAR tomographic imaging using Envisat-ASAR data

Recently, a SAR tomograhic imaging method, in which the inverse problem of SAR tomography is solved by l₁-norm regularization, was proposed. First, we discuss this method in the framework of sparse signal representation rather than compressive sampling, because the data of SAR tomography is a sparse signal in the Fourier basis essentially. Then we apply this method to Envisat-ASAR data for the first time. The Envisat-ASAR data over Angel Stadium of USA between October 29th 2003 and November 7th 2007 are used and satisfying results are achieved.