SAR Tomography Reconstruction using ISTA and GLRT Techniques

SAR Tomography (TomoSAR) leverages the utilization of multiple baselines to gather data about an area, enabling the acquisition of information not only in the range-azimuth direction but also in the elevation direction. This additional information in the elevation direction primarily consists of point scatterers, with one or more scatterers typically present within a single resolution cell. This research paper examines two distinct methodologies for detecting multiple scatterers in TomoSAR: the conventional Generalized Likelihood Ratio Test (GLRT) technique and a compressive sensing (CS) approach known as the Iterative Soft-Thresholding Algorithm (ISTA). The results are examined for a simulated case of two scatterers and a real case using the TerraSAR-X dataset.