Proposing a New Method for Reduction of Speckle Phenomenon by Using Clustering in Single Channel Radar Image

Speckle phenomenon is appurtenance of radar image nature that is caused accuracy reduction in interpretation، classification، segmentation، etc. over these images. Researchers have tried to decrease this phenomenon in radar images. One of the speckle phenomenon reduction methods in the radar images is spatial domain filters. Main methods of the spatial domain filter use thresholds for classifying type of targets، then speckle phenomenon decreases based on type of target. Using threshold in images for target classification is a method with great error. Therefore، clustering method is used for target classification in this research. In proposed method، firstly، speckle phenomenon of radar raw image decreased by using Mean filter. Afterwards، K-Means clustering method implemented over the filtered image with various cluster numbers. Optimal cluster number in case study determined using Davis Bouldian index. Finally، filtered image was produced in a decision level with the clustering and the raw radar images. Results of the proposed method were compared with other method including Mean filter، Lee filter، Enhanced Lee filter، Gamma filter and Median filter by using radiometric and edge preservation indexes. Results show that the proposed method has higher accuracy than the other implemented methods based on the mentioned indexes.