Abstract. Phase extraction in differential synthetic aperture radar (SAR) interferometry (DInSAR) is an important tool used for detecting subcentimeter-level change in ground deformation. The evaluated phase map processing is conducted via two important and successive steps: phase denoising and phase unwrapping. We attack the first step and propose the performance of discrete Riesz wavelets transform to reduce the residual speckle noise from the generated DinSAR phase map. The performance of the proposed method is appraised using three important criteria such as peak-to-signal-noise ratio (PSNR), the quality index Q, and the edge preservation index. The obtained metric values reveal that this technique can improve the PSNR and Q in comparison with other famous techniques. Finally, we apply the algorithm to denoise a real DinSAR phase map generated with sentinel application platform software using three SAR data of the Napa city in California.

中文翻译：

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离散 Riesz 小波域中差分合成孔径雷达干涉相位图去斑

摘要。差分合成孔径雷达 (SAR) 干涉测量 (DInSAR) 中的相位提取是用于检测地面变形亚厘米级变化的重要工具。评估的相位图处理通过两个重要且连续的步骤进行：相位去噪和相位展开。我们攻击第一步并提出离散 Riesz 小波变换的性能，以减少生成的 DinSAR 相位图中的残余散斑噪声。使用三个重要标准来评估所提出方法的性能，例如峰值信噪比（PSNR）、质量指数Q和边缘保留指数。获得的度量值表明，与其他著名技术相比，该技术可以提高 PSNR 和 Q。最后，