| 小波域局部贝叶斯阈值的SAR图像斑点抑制算法 |
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| 引用本文： | 李军侠,水鹏朗,武楠.小波域局部贝叶斯阈值的SAR图像斑点抑制算法[J].系统工程与电子技术,2006,28(6):819-822. |
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| 作者姓名： | 李军侠 水鹏朗 武楠 |
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| 作者单位： | 西安电子科技大学雷达信号处理国家重点实验室,陕西,西安,710071 |
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| 基金项目： | 国家自然科学基金(60272058、60472086)，国防预研项目资助课题(51407030203DZ0119) |
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| 摘 要： | 提出了一种抑制SAR图像斑点噪声的小波域贝叶斯软阈值方法。该算法不同于有偏的去除乘性噪声的同态滤波算法,而是将噪声转化为局部平稳的加性白噪声。在非下采样小波子带上,视数给定时该算法可以简洁有效地估计局部加性噪声方差。在实验中,该算法同Kuan,Lee和Argenti等算法作了比较,结果表明,在常用性能指标上所提算法优于其它算法。
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| 关 键 词： | 合成孔径雷达 斑点噪声 贝叶斯软阈值 小波变换 |
| 文章编号： | 1001-506X(2006)06-0819-04 |
| 修稿时间： | 2005年6月8日 |
Wavelet domain Bayesian shrinkage despeckling algorithm for SAR image |
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| LI Jun-xia,SHUI Peng-lang,WU Nan.Wavelet domain Bayesian shrinkage despeckling algorithm for SAR image[J].System Engineering and Electronics,2006,28(6):819-822. |
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| Authors: | LI Jun-xia SHUI Peng-lang WU Nan |
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| Abstract: | A novel SAR despeckling method using Bayesian shrinkage in local wavelet coefficient domain is presented.Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator,this algorithm translates speckle into locally stationary additive white noise.In undecimated wavelet subbands,for a given look number this algorithm can concisely and efficiently estimate local additive noise variance.The proposed algorithm is compared with Kuan,Lee and Argenti algorithms in an experiment which results show this algorithm is better in common quality index. |
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| Keywords: | synthetic aperture radar speckle Bayesian shrinkage wavelet transform |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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