Speckle Noise Removal for Synthetic Aperture Radar Imagery Based on Statistics Filters and Nonlinearing Function


Synthetic Aperture Radar (SAR) images are contaminated by multiplicativenoise, due to the coherence of the radar wavelength, labeled as speckle noise whichresults in an important reduction in the efficiency of target detection andclassification algorithms . In this paper the corrupted pixels are replaced by anestimated value using the simple filter based statistics filters with nonlinearfunction which are worked at the same time to reduce the speckle noise withoutblurring edges or other features in SAR imagery. Quantitative and qualitativecomparisons of the results obtained by the proposed method with the resultsachieved from the other speckle noise reduction filters demonstrate its higherperformance for speckle reduction with preserving high frequency features (edges)in SAR images.