[IPOL announce] new article: Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances

[announcements about the IPOL journal]

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.