一种复合的SAR图像去噪算法

doi:10.3969/j.issn.1001-2400.2010.02.008

J4 ›› 2010, Vol. 37 ›› Issue (2): 224-230.doi: 10.3969/j.issn.1001-2400.2010.02.008

• Original Articles • Previous Articles Next Articles

Composite enhancing and denoising algorithm for SAR images based on scale space correlation

YIN Kui-ying¹;HU Li-ping¹;LIU Hong-wei¹;JIN Lin²

(1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China;
2. Nanjing Research Institute of Electronics Technology, Nanjing 210013， China)

Received:2009-02-14 Online:2010-04-20 Published:2010-06-03
Contact: YIN Kui-ying E-mail:kuiyingyin@hotmail.com

Abstract

Abstract:

A composite adaptive enhancing and denoising algorithm for SAR images is presented. The SAR images are differentiated from speckle noise via scale space correlation. Because the SAR image can be described by approximate rayleigh's distribution, the complex diffusion coupled shock filter is used to enhance the signal differentiated from SAR image, and the anisotropic diffusion equation is used to denoise the speckle in the SAR image. Finally, the SAR image is reconstructed by stationary wavelet transform. Compared with traditional speckle removal algorithms, this new algorithm has better performance in terms of edge preserving and denoising.

Key words: scale space correlation, SAR denoising, SAR enhancement, nonlinear diffusion, shock filter

YIN Kui-ying;HU Li-ping;LIU Hong-wei;JIN Lin. Composite enhancing and denoising algorithm for SAR images based on scale space correlation[J].J4, 2010, 37(2): 224-230.

References

［1］王正明, 朱炬波. SAR图像提高分辨率技术［M］. 北京: 科学出版社, 2006.
［2］ Oliver C, Quegan S. Understanding Synthetic Aperture Radar Images［M］. Norwood: Artech House, 1998.
［3］吴艳, 沈博, 廖桂生. 基于多方向小波模糊融合的SAR图像边缘提取［J］. 西安电子科技大学学报, 2006, 33(5): 691-695.
Wu Yan, Shen Bo, Liao Guisheng. A Method of Multi-direction Multi-scale Wavelet Transform and Fuzzy Fusion for Edge Detection in SAR Images［J］. Journal of Xidian University, 2006, 33(5): 691-695.
［4］ Ren Lu, Xing Mengdao, Bao Zheng. Adaptive Despeckling SAR Images Based on Scale Space Correlation［C］//IEEE ICASSP. Philadelphia: IEEE, 2005.
［5］ Perona P, Malik J. Scale-space and Edge Detection Using Anisotropic Diffusion［J］. IEEE Trans on Pat Anal Machine Intel, 1990, 12(7): 629-639.
［6］ Gilboa G, Zeevi Y Y, Sochen N. Complex Diffusion Processes for Image Filtering［C］//Scale-Space 2001, LNCS 2106. Vancouver: Springer-Verlag, 2001: 299-307.
［7］ Gilboa G, Sochen N, Zeevi Y Y. Regularized Shock Filters and Complex Diffusion［C］//ECCV-02, LNCS 2350. Copenhagen: Springer-Verlag, 2002: 399-313.
［8］ Gilboa G, Sochen N, Zeevi Y Y. Image Enhancement and Denoising by Complex Diffusion Processes［J］. IEEE Trans on Pattern Analysis and Machine Intelligence, 2004, 26(8): 1-34.
［9］ Gilboa G, Sochen N, Zeevi Y Y. Estimation of Optimal PDE-based Denoising in the SNR Sense［J］. IEEE Trans on Image Processing, 2006, 15(8): 2269-2280.
［10］张亶, 陈刚. 基于偏微分方程的图像处理［M］. 北京: 高等教育出版社, 2004.
［11］ Gilboa G, Sochen N, Zeevi Y Y. Image Enhancement Segmentation and Denoising by Time Dependent Nonlinear Diffusion Processes［C］//ICIP'01. Thessaloniki: Greece, 2001: 134-137.
［12］ Kukunage K. Introduction to Statistical Pattern Recognition［M］. Boston: Academic Press, 1990.
［13］张贤达. 现代信号处理［M］. 北京: 清华大学出版社, 2002.

Composite enhancing and denoising algorithm for SAR images based on scale space correlation

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 1

Metrics

Comments

Recommended 0