Author Affiliations
Abstract
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200240
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 Holder 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.
散斑消除 合成孔径雷达图像 独立成分分析 基图像 Holder指数 100.0100 Image processing 030.6140 Speckle 280.6730 Synthetic aperture radar 350.4600 Optical engineering Chinese Optics Letters
2007, 5(9): 509