Intensity-driven adaptive-neighborhood technique for polarimetric and interferometric SAR parameters estimation

By Gabriel Vasile, Emmanuel Trouvé, Jong-Sen Lee, Vasile V. Buzuloiu. IEEE Transactions on Geoscience and Remote Sensing, 2006

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Improved Sigma Filter for Speckle Filtering of SAR Imagery (2009, methodology): “[12] used the 3 × 3 median, and Alparone et al.”
NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising (2015, methodology): “[22] proposed to use region growing to build an adapted neighborhood restricted to similar pixels only.”
A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR (2011, background): “Statistically homogeneous areas also have to be identified to accurately estimate covariance or coherency matrixes in PolSAR and PolInSAR data [27], [28] and effectively apply target decomposition theorems [28].”
Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights (2009, unknown): “shape-adaptive windows [18]–[20] or spatially variable band-”