收稿日期: 2010-04-29
修回日期: 2010-06-25
网络出版日期: 2011-03-15
基金资助
国家自然科学基金(40706063)资助
A new curvelet-based method for SAR image feature enhancement
Received date: 2010-04-29
Revised date: 2010-06-25
Online published: 2011-03-15
白皓 , 王小青 , 陈永强 . 一种基于曲波域的SAR图像特征增强新方法[J]. 中国科学院大学学报, 2011 , 28(2) : 228 -234 . DOI: 10.7523/j.issn.2095-6134.2011.2.014
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.
Key words： curvelet transform; anisotropic; SAR images; image enhancement
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