|Title:||Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances||Authors:||Gomez, Luis
Frery, Alejandro C.
|UNESCO Clasification:||220920 Radiometría||Keywords:||Non-Local Means
|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.||URI:||http://hdl.handle.net/10553/114891||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|
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.