测绘通报 ›› 2018, Vol. 0 ›› Issue (9): 59-63.doi: 10.13474/j.cnki.11-2246.2018.0280

• 学术研究 • 上一篇    下一篇

改进球形张量投票的SAR图像边缘提取

张莹, 李爱霞, 赵红   

  1. 浙江水利水电学院测绘与市政工程学院, 浙江 杭州 310018
  • 收稿日期:2018-04-02 修回日期:2018-04-16 出版日期:2018-09-25 发布日期:2018-09-29
  • 作者简介:张莹(1996-),女,从事遥感技术理论的学习和应用。E-mail:doriscoral@163.com
  • 基金资助:

    浙江省自然科学基金(LQ15D010001);浙江省教育厅资助项目(Y201432349)

Edge Detection Method for SAR Image Based on Improved Ball Tensor Voting

ZHANG Ying, LI Aixia, ZHAO Hong   

  1. College of Surveying & Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
  • Received:2018-04-02 Revised:2018-04-16 Online:2018-09-25 Published:2018-09-29
  • Contact: 李爱霞。E-mail:liax_zj@sina.com E-mail:liax_zj@sina.com

摘要:

张量投票方法根据平滑度、邻近度及连续性原则收集邻域内其他点的张量信息,从而提取各种几何结构,对噪声数据具有较强的稳健性。通过分析球形张量投票结果,本文提出了一种基于迭代球形张量投票的SAR图像边缘提取方法。该方法根据一定的尺度范围对图像进行迭代球形张量投票,迭代过程中利用广义非线性增强函数对像素的特征值进行增强处理,进而提高目标边缘提取的精度。利用真实的SAR图像进行对比试验,结果表明本文方法能够获得较好的边缘提取效果,提取的边缘定位准确、完整。

关键词: 合成孔径雷达(SAR), 边缘提取, 张量投票, 图像增强, 多尺度

Abstract:

Tensor voting is a robust method for feature extraction,which collects the tensor information in neighborhood based on the principles of smoothness,proximity and connecting,and then detects the geometric structures.According to the results of ball tensor voting,we propose an edge detection method for SAR image based on the iterative ball tensor voting in the paper.The edge detection method votes for the iterative ball tensor on the basis of a certain scale range.Using a generalized nonlinear mapping function,the eigenvalues of each pixel were enhanced in the process of iteration,which increased the accuracy of the edge detection.The proposed method has been tested by the real SAR images,and the results of the experiments demonstrate its effectiveness and superiority in terms of the accuracy and integrity of the edge location.

Key words: SAR, edge detection, tensor voting, image enhancement, multi-scale

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