Open AccessA novel method to configure the parameters of the bilateral filtering for synthetic aperture radar images speckle reduction
Author(s) -
Jincai Li,
Huang Si-Xun,
Peng Yu-Xing,
Weimin Zhang
Publication year - 2012
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.61.119501
Subject(s) - computer science , synthetic aperture radar , similarity (geometry) , speckle pattern , algorithm , bilateral filter , variance (accounting) , artificial intelligence , gray level , pattern recognition (psychology) , mathematics , image (mathematics) , accounting , business
Bilateral filtering can effectively smooth SAR images with the edges preserved, but it is difficult to optimally configure the parameters of bilateral filtering. Traditional method is based on an optimal trade-off hypothesis according to the despeckling estimation indexes, including the equivalent number of looks (ENL) and edge preserving index (EPI). However, the variance of gray value similarity obtained by traditional method has large error, and to improve accuracy, the computing time is increased linearly. In this paper, we present a novel method to configure the parameters of bilateral filtering based on the hypothesis and the monotone properties of the ENL and EPI curves. Experimental results show that the accuracy of variance of gray value similarity is increased by one order of magnitude in the case of almost the same computing time; the computing time is reduced by one order of magnitude for the same accuracy of variance of gray value similarity.