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›› 2011, Vol. 28 ›› Issue (2): 228-234.DOI: 10.7523/j.issn.2095-6134.2011.2.014

• Research Articles • Previous Articles     Next Articles

A new curvelet-based method for SAR image feature enhancement

BAI Hao1,2, WANG Xiao-Qing1, CHEN Yong-Qiang1   

  1. 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
  • Received:2010-04-29 Revised:2010-06-25 Online:2011-03-15

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.

Key words: curvelet transform, anisotropic, SAR images, image enhancement

CLC Number: