A new article is available in IPOL: https://www.ipol.im/pub/art/2022/346/
Luis Gomez, Jie Wu, and Alejandro C. Frery,
Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar
Images with Stochastic Distances,
Image Processing On Line, 12 (2022), pp. 142–172.
https://doi.org/10.5201/ipol.2022.346
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 demanding, so we provide
an efficient implementation that allows us to experiment with different
settings and find optimal parameters.
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