Riesz Wavelets Toolbox for Differential SAR Interferograms Despeckling

Abstract

Phase extraction in Differential Synthetic Aperture Radar (DInSAR) is a crucial tool for detecting ground deformation changes at a subcentimeter level. The processing of the evaluated phase map occurs through two significant and consecutive steps: phase denoising and phase unwrapping. We focus on the initial step and propose utilizing the discrete Riesz wavelets transform to mitigate residual speckle noise from the generated DInSAR phase map. The effectiveness of the proposed method is assessed using three important criteria: peak-to-signal-noise ratio (PSNR), the quality index Q, and the edge preservation index. The obtained metric values demonstrate that this technique can enhance both PSNR and Q compared to other well-known methods.