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Title: Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances
Authors: Gomez, Luis 
Wu, Jie
Frery, Alejandro C. 
UNESCO Clasification: 220920 Radiometría
Keywords: Non-Local Means
Polsar Imagery
Stochastic Distances
Wishart Distribution
Issue Date: 2022
Journal: Image Processing On Line
Abstract: In this paper, we present a Non-Local Means filtering method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery. We adopted three stochastic distances to measure the similarity of samples. We obtain p-values using the asymptotic distribution of test statistics based on these distances. Then we use this similarity evidence as input for a smooth activating function that yields the weights of local convolution matrices. Non-local filters are computationally de-manding, so we provide an efficient implementation that allows us to experiment with different settings and find optimal parameters.
DOI: 10.5201/ipol.2022.346
Source: Image Processing on Line [EISSN 2105-1232], v. 12, p. 142-172, (Enero 2022)
Appears in Collections:Artículos
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