Paper Info
Title
Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances
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.
Year
DOI
Venue
2022
10.5201/ipol.2022.346
IMAGE PROCESSING ON LINE
Keywords
DocType
Volume
stochastic distances, non-local means, Wishart distribution, PolSAR imagery
Journal
12
ISSN
Citations 
PageRank 
2105-1232
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Luis Gomez1376.88
Jie Wu28307592.07
Alejandro C. Frery300.34