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Chin. Opt. Lett.
 Home  List of Issues    Issue 09 , Vol. 05 , 2007    Speckle reduction of SAR images using ICA basis enhancement and separation

Speckle reduction of SAR images using ICA basis enhancement and separation
Yutong Li, Yue Zhou
Institute of Image Processing and Pattern Recognition, [Shanghai Jiao Tong University], Shanghai 200240

Chin. Opt. Lett., 2007, 05(09): pp.509-512-4

Topic:Image processing
Keywords(OCIS Code): 100.0100  030.6140  280.6730  350.4600  

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.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Get Citation: Yutong Li, Yue Zhou, "Speckle reduction of SAR images using ICA basis enhancement and separation," Chin. Opt. Lett. 05(09), 509-512-4(2007)

Note: This work was supported by the National Natural Science Foundation of China (No. 60675023) and the Aviation Science Foundation of China (No. 04F57004). Y. Li's e-mail address is lyt.pami2005@gmail.com, and Y. Zhou's e-mail address is zhouyue@sjtu.edu.cn.


1. J. S. Lee, IEEE Trans. Pattern Analysis and Machine Intelligence 2, 165 (1980).

2. D. T. Kuan, A. A. Sawchuk, T. C. Strand, and P. Chavel, IEEE Trans. Pattern Analysis and Machine Intelligence 7, 165 (1985).

3. D. L. Donoho and I. Johnstone, J. Am. Statist. Assoc. 90, 1200 (1995).

4. A. Hyvarinen, P. O. Hoyer, and E. Oja, in Advances in Neural Information Processing Systems 11 (NIPS'98) 473 (1999).

5. P. Comon, Signal Processing 36, 287 (1994).

6. J. Levy-Vehel, in IMA Volumes in Mathematics and Its Applications, Fractals in Multimedia 132, 197 (2002).

7. J. Levy-Vehel, in Fractal Image Encoding and Analysis, NATO ASI Series 159, 299 (1998).

8. J. Levy-Vehel, in Fractals in the Natural and Applied Sciences 261 (1994).

9. J. Levy-Vehel, Fractals 3, 755 (1995).

10. A. Hyvrinen and E. Oja, Neural Computation 9, 1483 (1997).

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