一种基于似然比统计量的SAR相干变化检测

赵军香 梁兴东 李焱磊

赵军香, 梁兴东, 李焱磊. 一种基于似然比统计量的SAR相干变化检测[J]. 雷达学报, 2017, 6(2): 186-194. doi: 10.12000/JR16065
引用本文: 赵军香, 梁兴东, 李焱磊. 一种基于似然比统计量的SAR相干变化检测[J]. 雷达学报, 2017, 6(2): 186-194. doi: 10.12000/JR16065
Zhao Junxiang, Liang Xingdong, Li Yanlei. Change Detection in SAR CCD Based on the Likelihood Change Statistics[J]. Journal of Radars, 2017, 6(2): 186-194. doi: 10.12000/JR16065
Citation: Zhao Junxiang, Liang Xingdong, Li Yanlei. Change Detection in SAR CCD Based on the Likelihood Change Statistics[J]. Journal of Radars, 2017, 6(2): 186-194. doi: 10.12000/JR16065

一种基于似然比统计量的SAR相干变化检测

doi: 10.12000/JR16065
基金项目: 

国家863计划船载无人机海洋观测系统 2013AA092105

国家863计划船载无人机海洋观测系统 201412002

详细信息
    作者简介:

    赵军香 (1989–), 女, 中国科学院电子学研究所硕士研究生, 研究方向为雷达信号处理。E-mail:jxzhao_0817@163.com

    梁兴东 (1973–), 男, 中国科学院电子学研究所研究员, 研究领域包括高分辨率合成孔径雷达系统、干涉合成孔径雷达系统、成像处理及应用和实时数字信号处理。E-mail:xdliang@mail.ie.ac.cn

    李焱磊 (1983–), 男, 中国科学院电子学研究所助理研究员, 研究方向为机载差分干涉SAR信号处理。E-mail:yllee@mail.ie.ac.cn

    通讯作者:

    赵军香, E-mail:jxzhao_0817@163.com

  • 中图分类号: TN957.51

Change Detection in SAR CCD Based on the Likelihood Change Statistics

Funds: 

National 863 Plan Ship-carried UAV Ocean Observation System 2013AA092105

Surveying and Mapping Geographic Information Public Service Industry Research Projects 201412002

  • 摘要: 相干变化检测利用相位差异可以检测出场景中的微小变化。该文针对相干变化检测中的两个问题:虚警高和阈值难选择,在原有似然比检测算法的基础上做了两点改进:运用最大似然估计优化似然比统计量中的参数,并采用邻域滑动窗口使得参数估计结果更加准确稳健;根据差异图像直方图提出了一种基于邻域直方图差的自动阈值选取方法。实测数据处理结果验证了算法的有效性。

     

  • 图  1  ROC曲线

    Figure  1.  ROC curves

    图  2  窗口的选择

    Figure  2.  Two different windows

    图  3  基于似然比变化检测的流程图

    Figure  3.  A change detection based on the likelihood change statistic for SAR CCD

    图  4  理想中差异图像的直方图

    Figure  4.  Ideal histogram of likelihood change statistic

    图  5  实测数据得到的差异影像直方图

    Figure  5.  Histogram of likelihood change statistic

    图  6  自动阈值选取方法

    Figure  6.  The results of automatic threshold selection

    图  7  地面真实变化

    Figure  7.  Ground truth observations of the changed scene

    图  8  估计全局协方差矩阵的样本

    Figure  8.  The sample data for estimation of the covariance matrixes

    图  9  检测结果

    Figure  9.  Detection results

    图  10  三种算法的ROC曲线

    Figure  10.  Experimental ROC curves of the three change detection method

    表  1  LLR_CCD方法和CCD方法的性能指标

    Table  1.   Results of change detection by CCD and LLR_CCD

    性能评估参数 LLR_CCD CCD
    本文阈值选取方法 OSTU 手动最佳阈值 本文阈值选取方法 OSTU 手动最佳阈值
    阈值 –104.83 72.06 –125 0.77 0.71 0.32
    检测率PTP 0.7281 1 0.6641 1 0.9984 0.5703
    负检率PTN 0.9965 0.3811 0.9989 0.8737 0.9134 0.9933
    虚警率PFP 0.0035 0.6189 0.0011 0.1263 0.0866 0.0067
    漏检率PFN 0.2719 0 0.3359 0 0.0016 0.4297
    Kappa 0.7454 0.0193 0.7626 0.1811 0.2517 0.5684
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-03-28
  • 修回日期:  2016-06-15
  • 网络出版日期:  2017-04-28

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