Speckle noise removal for synthetic aperture radar imagery based on statistics filters and nonlinearing function

Abstract EN

Sy nthetic Aperture Radar(SAR) images are contaminated by multiplicative noise, due to the coherence of the radar wavele ngth, labe led as spe ckle noise whic h results in an important reduction in the efficiency of target detection and classific ation algorithms .

In this pape r the corrupted pixels are replaced by an estimated value using the simple filter based statistics filters with nonlinear function which are worke d at the same time to reduce the speckle noise without blurring edges or other fe atures in SAR image ry .

Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction filters demonstrate its higher performance for speckle re duction with preserving high frequency features (edges) in SAR images.