P-Band Airborne SAR Tomography Baseline Error Correction Driven by Small Baseline Subset Interferometric Network

Baseline errors is the main error source of airborne multi-baseline SAR tomography. P-band SAR can penetrate into deep vegetation layer even in tropical forests and therefore offers huge potentials in forest structure study. This paper introduces a novel method to estimate and compensate these baseline errors based on small baseline subset interferometric network, which is, compared to the existing methods, (1) less prone to heavy decorrelation noise induced by forest volume scattering and (2) easy to implement without pixel-by-pixel optimization. Numerical experiments conducted on real airborne P-band multi-baseline SAR dataset demonstrate that the proposed method can effectively estimate and correct the baseline errors.