Beyond the Grid: Weighted Least Squares Approach for Accurate and Efficient TomoSAR Inversion

Synthetic Aperture Radar Tomography (TomoSAR) has proven to be a powerful technique in urban mapping, disaster assessment, and counter-terrorism operations. However, existing inversion algorithms face challenges in balancing accuracy and efficiency. This paper introduces a novel gridless three-dimensional inversion method based on Weighted Least Squares (WLS) for TomoSAR, aiming to address issues related to accuracy, efficiency, and the lack of analytical expressions for the scatterer positions and backscattering coefficients. The validity of the proposed method is verified on the measured data.