J4 ›› 2012, Vol. 39 ›› Issue (6): 142-146+153.doi: 10.3969/j.issn.1001-2400.2012.06.023

• 研究论文 • 上一篇    下一篇

Shearlet域变换与复扩散方程结合的SAR图像降斑

许悦雷1;田松1;李军伟2;凤宏晓3   

  1. (1. 空军工程大学 航空航天工程学院,陕西 西安  710038;
    2. 航天科工集团 二院207所,北京  100854;
    3. 陕西黄河集团公司 设计研究院,陕西 西安  710058)
  • 收稿日期:2011-08-22 出版日期:2012-12-20 发布日期:2013-01-17
  • 通讯作者: 许悦雷
  • 作者简介:许悦雷(1975-),副教授,E-mail:yueleixu@126.com.
  • 基金资助:

    航空基金资助项目(20101996009);国家部委科技重点实验室基金资助项目(9140c61040590c61)

SAR image despeckling based on edge detection and the plural pervasion equation in the Shearlet domain

XU Yuelei1;TIAN Song1;LI Junwei2;FENG Hongxiao3   

  1. (1. Eng. Inst., the Air Force Univ. of Eng., Xi'an  710038, China;
    2.  Inst. 207 of CASIC Second Academy, Beijing  100854, China;
    3. Design and Research Inst., Shaanxi Huanghe Group Co., Ltd., Xi'an  710058, China)
  • Received:2011-08-22 Online:2012-12-20 Published:2013-01-17
  • Contact: XU Yuelei

摘要:

针对大多数降斑算法不能很好地在实现区域平滑的同时保持图像细节边缘这一问题,提出了一种新的复扩散方程,结合Shearlet变换给出了一种模极大值边缘检测方法.将获得图像边缘与降斑平滑的结果相结合,在有效实现降斑平滑的同时保持了图像的边缘.实验结果表明,该方法对SAR图像中的点目标、边缘和纹理具有较好的保持能力,在有效降斑的同时,更多地保留了图像的边缘和细节.

关键词: SAR图像降斑, Shearlet变换, 复扩散, 边缘检测

Abstract:

It is difficult for many current despeckling methods to produce good region smoothing and edge preservation simultaneously. In this paper, a new Plural Pervasion equation is designed, which combines a Shearlet transform and edge detection of module maximum, and a new SAR image despeckling method is proposed. Experimental results indicate that the method possesses advantages of speckle reduction, and point target and edge preservation.

Key words: SAR image despeckling, Shearlet transform, plural pervasion, edge detection

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