A Multiscale Kernel Approach to Speckle Suppression for SAR Images
Coherent speckle noise of SAR images decreases the image quality seriously,and makes the image difficult to be understood. The recently developed multiscale kernel (MSK) is a truly mesh-free method and can handle unstructured data with noise in any dimension.In this paper,a new speckle reduction method for SAR images based on MSK is presented.Firstly,the feasibility and rationality of filtering method based on MSK is proved by the analysis of decomposition and experiment for onedimension signal denoising. Then the SAR image is regarded as two-dimension continuous signal and is multiscale decomposed based on MSK.Finally,the decomposed image is filtered by a threshold strategy and a inversed operator is applied to recover the image.Experimental results show that the presented method can *x>th suppress the speckle noise and keep the edges in SAR images,the performance is better than that of the traditional filter methods.
Synthetic Aperture Radar (SAR) Multiscale Kernel (MSK) Wavelet Analysis Speckle
Wei Xiong Lanying Cao Jun Jiang
Radar and Avionics Institute of AVIC,Wuxi,Jiangsu,214063,P.R.China
国际会议
2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)
西安
英文
1084-1087
2009-10-26（万方平台首次上网日期，不代表论文的发表时间）