Sector interpolation for 3D SAR imaging with baseline diversity data

SAR tomography is an emerging technique which can be used to derive full 3D SAR images of the observed areas. It is based on the Fourier elevation focusing of the signal acquired by means of baseline diversity. Unfortunately, the spatial baseline distribution is typically non-uniform, resulting in an unsatisfactory image quality. In this work, we improve the basic elevation focusing technique by reconstructing a set of uniform baselines data exploiting a light a priori information, i.e. the height sector which contains the scatterers. The validity of the method has been evaluated by carrying out simulated analyses for different scenarios.