Speckle reduction of SAR images using ICA basis enhancement and separation  

作　　者：李昱彤 周越 

机构地区：[1]Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University

出　　处：《Chinese Optics Letters》2007年第9期509-512,共4页中国光学快报（英文版）

基　　金：the National Natural Science Foundation of China(No.60675023);the Aviation Science Foundation of China(No.04F57004).

摘　　要：An approach for synthetic aperture radar （SAR） image de-noising based on independent component analysis （ICA） basis images is proposed. Firstly, the basis images and the code matrix of the original image are obtained using ICA algorithm. Then, pointwise Hoder exponent of each basis is computed as a cost criterion for basis enhancement, and then the enhanced basis images are classified into two sets according to a separation rule which separates the clean basis from the original basis. After these key procedures for speckle reduction, the clean image is finally obtained by reconstruction on the clean basis and original code matrix. The reconstructed image shows better visual perception and image quality compared with those obtained by other traditional techniques.An approach for synthetic aperture radar （SAR） image de-noising based on independent component analysis （ICA） basis images is proposed. Firstly, the basis images and the code matrix of the original image are obtained using ICA algorithm. Then, pointwise Hoder exponent of each basis is computed as a cost criterion for basis enhancement, and then the enhanced basis images are classified into two sets according to a separation rule which separates the clean basis from the original basis. After these key procedures for speckle reduction, the clean image is finally obtained by reconstruction on the clean basis and original code matrix. The reconstructed image shows better visual perception and image quality compared with those obtained by other traditional techniques.

关 键 词：Algorithms Image quality Independent component analysis SPECKLE Synthetic aperture radar 

分 类 号：O438[机械工程—光学工程]