| 一种基于曲波域的SAR图像特征增强新方法 |
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| 作者姓名： | 白皓 王小青 陈永强 |
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| 作者单位： | 1. 中国科学院电子学研究所微波成像技术国家重点实验室, 北京 100190;
2. 中国科学院研究生院, 北京 100049 |
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| 基金项目： | 国家自然科学基金(40706063)资助 |
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| 摘 要： | Starck等人的图像增强方法不能有效增强SAR图像中的边缘特征.为此,提出一种curvelet域SAR图像特征增强新方法.该方法充分利用curvelet变换多尺度多方向特性及其良好的各向异性特点,在curvelet域内提取图像的边缘特征,并定位特征curvelet系数.通过增强特征curvelet系数,达到增强图像边缘特征的目的.实验结果表明,与Starck等人的方法相比,本文算法能够更加有效性地增强SAR图像的边缘特征.
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| 关 键 词： | 曲波变换 各向异性 合成孔径雷达图像 图像增强 |
| 收稿时间： | 2010-04-29 |
| 修稿时间： | 2010-06-25 |
A new curvelet-based method for SAR image feature enhancement |
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| Authors: | BAI Hao WANG Xiao-Qing CHEN Yong-Qiang |
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| Institution: | 1. Nat Key Lab of Microwave Imaging Tech, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | The image enhancement method of Starck et al can not effectively enhance edge-features in SAR image. A new method is proposed based on curvelet for SAR image feature enhancement. Curvelet transform is of multi-scale and multi-direction and has excellent anisotropic characteristic.The proposed method takes full advantages of these properties to extract image edge-features in curvelet domain and locate the curvelet coefficients of edges. The edge-features in image can be enhanced through enhancing the curvelet coefficients of edges. Experiments show that our algorithm enhances features of edges in SAR image more effectively than the method of Starck et al. |
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| Keywords: | curvelet transform anisotropic SAR images image enhancement |
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