A Novel Atmospheric Phase Correction Based on Kriging Incorporating Temporal Phase Evolution for Ground-Based SAR

In ground-based synthetic aperture radar (GB-SAR) interferometry applications, the generated interferograms often suffer from propagation delay in the troposphere, known as atmospheric phase screen (APS). Kriging interpolation is one of the approaches that can predict the APS in interferograms. In this presentation, we propose a novel Kriging approach for more accurate predictions of APS in multi-temporal GB-SAR data. In the proposed method, the temporal atmospheric phase evolution at each pixel is taken into account in the Kriging. The proposed method is validated with a real GB-SAR dataset, showing improved results on the prediction accuracy of APS in the spatial domain.