| SAR image denoising based on wavelet-fractal analysis |
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| 作者单位： | Zhao Jian（School of Electronics and Information, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China;School of Information Science and Technology, Northwest Univ., Xi'an 710069, P. R. China） ;
Cao Zhengwen（School of Information Science and Technology, Northwest Univ., Xi'an 710069, P. R. China） ;
Zhou Mingquan（School of Information Science and Technology, Northwest Univ., Xi'an 710069, P. R. China） ; |
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| 摘 要： | Wavelet-fractal based SAR （synthetic aperture radar） image processing is one of the advanced technologies in image processing. The main concept of analysis is that after wavelet transformation, multifractal spectrum of the signal is different from that of noise. This difference is used to alleviate the noise produced by SAR image.The method to denoise SAR image using the process based on wavelet-fractai analysis is discussed in detail. Essentially, the present method focuses on adjusting the Hoelder exponent α of multifractal spectrum. After simulation, α should be adjusted to 1.72-1.73. The more the value of α exceeds 1.73, the less distinctive the edges of SAR image become. According to the authors denoising is optimal at α=1.72-1.73. In other words, when α =1.72-1.73, a smooth and denoised SAR image is produced.
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| 关 键 词： | 合成孔径雷达图象 图象降噪 SAR 小波-分形分析 图象处理 |
| 收稿时间： | 3 August 2005. |
SAR image denoising based on wavelet-fractal analysis |
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| Authors: | Zhao Jian Cao Zhengwen Zhou Mingquan |
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| Institution: | 1. School of Electronics and Information, Northwestern Polytechnical Univ., Xi'an 710072, P. R. China;School of Information Science and Technology, Northwest Univ., Xi'an 710069, P. R. China
2. School of Information Science and Technology, Northwest Univ., Xi'an 710069, P. R. China |
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| Abstract: | Wavelet-fractal based SAR (synthetic aperture radar) image processing is one of the advanced technologies in image processing. The main concept of analysis is that after wavelet transformation, multifractal spectrum of the signal is different from that of noise. This difference is used to alleviate the noise produced by SAR image.The method to denoise SAR image using the process based on wavelet-fractal analysis is discussed in detail. Essentially, the present method focuses on adjusting the H(o)lder exponent α of multifractal spectrum. After simulation, α should be adjusted to 1.72-1.73. The more the value of α exceeds 1.73, the less distinctive the edges of SAR image become. According to the authors denoising is optimal at α =1.72-1.73. In other words, when α =1.72-1.73, a smooth and denoised SAR image is produced. |
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| Keywords: | Synthetic aperture radar image Wavelet Multifractal analysis Denoising H(o)1der exponent |
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