›› 2012, Vol. 25 ›› Issue (6): 83-.

• Articles • Previous Articles     Next Articles

Self-adaptive Denoising for SAR Image Based on Shearlet Transform

 LIU Cheng-Hao, LIU Wen-Bo, ZHANG Gong   

  1. (1.College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China;
    2.College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
  • Online:2012-06-15 Published:2012-08-23


In view of the characteristics of relevant speckle noise of SAR images,this paper proposes a self-adaptive shrinkage method for denoising based on Shearlet transform.First,the image is processed with Shearlet transform.Then,the Shearlet coefficient is contracted by the self-adaptive shrinkage method considering the noise measurement and the relevance of multi-scale spaces.Finally,one image is reconstructed through the inverse Shearlet transform using the amended coefficient.The experiments indicate that the algorithm can wipe off the relevant speckle noise of SAR images and has strong capability of maintaining the edge.

Key words: SAR image;speckle noise;Shearlet transform;denoising based on self-adaptive shrinkage

CLC Number: 

  • TP391.4