一种改进的变化检测方法及其在洪水监测中的应用

冷英 李宁

冷英, 李宁. 一种改进的变化检测方法及其在洪水监测中的应用[J]. 雷达学报, 2017, 6(2): 204-212. doi: 10.12000/JR16139
引用本文: 冷英, 李宁. 一种改进的变化检测方法及其在洪水监测中的应用[J]. 雷达学报, 2017, 6(2): 204-212. doi: 10.12000/JR16139
Leng Ying, Li Ning. Improved Change Detection Method for Flood Monitoring[J]. Journal of Radars, 2017, 6(2): 204-212. doi: 10.12000/JR16139
Citation: Leng Ying, Li Ning. Improved Change Detection Method for Flood Monitoring[J]. Journal of Radars, 2017, 6(2): 204-212. doi: 10.12000/JR16139

一种改进的变化检测方法及其在洪水监测中的应用

doi: 10.12000/JR16139
基金项目: 国家自然科学基金优秀青年基金(61422113)
详细信息
    作者简介:

    冷 英(1987–),女,辽宁人,博士研究生,研究方向为SAR图像信息提取。E-mail: sarallyy@126.com

    李 宁(1987–),男,安徽人,博士,中科院电子学研究所助理研究员,研究方向为多模式合成孔径雷达成像及其应用技术研究。E-mail: lining_nuaa@163.com

    通讯作者:

    李宁   lining_nuaa@163.com

  • 中图分类号: TP753

Improved Change Detection Method for Flood Monitoring

Funds: The National Natural Science Foundation for Excellent Young Scholars (61422113)
  • 摘要: 针对多时相合成孔径雷达(Synthetic Aperture Radar, SAR)图像的变化检测,该文提出一种改进的混合变化检测方法来提高检测精度。该方法首先采用基于像素级的变化检测方法提取初始变化区域,并以此估计初始聚类中心;然后采用模糊聚类(FCM)将变化前后SAR图像分为3类,即水体区域、背景区域、过渡区域;接着采用最近距离聚类(NNC)将过渡区域像素进一步划分为水体和背景两部分,合并所有水体像素,实现洪水区域的提取。最后得到的洪水区域差异图即为最终的变化检测结果。该文采用Sentinel-1A获取的淮河与鄱阳湖水域数据进行算法验证,实验表明,该文方法的检测率较高,且总体误差较低。

     

  • 图  1  算法流程

    Figure  1.  Workflow of the proposed algorithm

    图  2  实验场景1:淮河流域

    Figure  2.  Experimental scene 1 covering Huaihe areas acquired through Sentinel-1A

    图  3  实验场景2:鄱阳湖水域

    Figure  3.  Experimental scene 2 covering Poyang Lake areas acquired through Sentinel-1A

    图  4  待分析的图像切片

    Figure  4.  Slice under analysis

    图  5  PCA融合对比分析

    Figure  5.  Image fusion with PCA analysis

    图  6  PBCD变化检测分析

    Figure  6.  Analysis of PBCD approach

    图  7  A区域变化检测结果对比分析

    Figure  7.  Change detection of A region with different approaches

    图  8  B区域变化检测结果对比分析

    Figure  8.  Change detection of B region with different approaches

    表  1  Sentinel-1A数据参数(干涉宽测绘带模式)

    Table  1.   Parameters of Sentinel-1A product (IW)

    参数 数值
    成像波段 C
    载频 5.4 GHZ
    幅宽 250 km
    入射角 38.9°
    极化 VV HV
    地距分辨率 20×22 m
    下载: 导出CSV

    表  2  变化检测精度对比分析

    Table  2.   Quantitative evalutaions and comparison of change detection results

    方法 检测率(%) 虚警率(%) 总误差率(%) Kappa
    A B A B A B A B
    本文方法 97.60 87.32 1.93 2.71 2.08 3.83 0.96 0.86
    文献[8]方法 94.34 79.40 1.00 3.97 2.44 5.84 0.92 0.76
    文献[21]方法 93.40 73.77 0.65 1.33 2.53 4.14 0.91 0.71
    Try and error 93.33 69.15 0.53 1.12 2.47 4.47 0.90 0.70
    FCM 95.84 86.26 2.36 3.17 2.93 4.37 0.94 0.84
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-12-05
  • 修回日期:  2017-02-16
  • 网络出版日期:  2017-04-28

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