Robust Nonlocal Low-Rank Sar Stack Despeckling With Application To Change Detection
Gerald Baier, Wei Ping He, Bruno Adriano, Junshi Xia, Naoto Yokoya · 2019
We present a nonlocal low-rank denoising algorithm for synthetic aperture radar (SAR) image stacks. The method extends the widely known DespecKS algorithm by integrating low-rank approximation, outlier removal, and total variation (TV) regularization into the estimation process. Preliminary experiments shows increased robustness against outliers and comparable performance to state-of-the-art stack despeckling algorithms.