Multidimensional Synthetic Aperture Radar (SAR) imaging is a technique based on coherent SAR data combi- nation for space (full 3-D) and space deformation-velocity (4-D) analysis. It extends SAR interferometry and differential interferometry concepts offering new options for the analysis and monitoring of ground scenes. In this paper, we consider the problem of detecting scatterers showing partial correlation properties induced by simulta- neous acquisitions from satellite formations or an uneven temporal distribution of satellite constellations. To this end, we design a decision rule accounting for the presence of partial coherent scatterers. At the analysis stage, we assess the performance of the new detector also in comparison with a previously proposed scheme, developed in the context of SAR tomography for fully coherent scatterers.
Synthetic Aperture Radar Interferometry (InSAR) is a technique for the generation of Digital Elevation Models (DEMs)
of an observed scene. It exploits the phase difference (interferogram) of two SAR images relevant to the same area and
acquired by two different look angles.
To recover the topographic information from an InSAR data pair, it is necessary to evaluate a proper phase offset value
to add to the unwrapped SAR interferogram. Generally, such a phase offset is accurately estimated by using Corner
Reflectors (CRs) properly deployed over the illuminated area. Nevertheless, in some cases of practical interest, CRs
cannot be used: in order to overcome this limit, different algorithms have been proposed in literature. In this paper, we
present an algorithm aimed at estimating the InSAR phase-offset without using CRs. To this aim, we first present a
theoretical analysis, validated by experiments carried out on simulated data, for the evaluation of the phase offset and,
thereafter, we apply the proposed method on real data acquired by the X-band airborne OrbiSAR system. Comparisons
with results achieved by using CRs properly deployed over the test site are also included.