Remote Sensing Technology and Application, Volume. 39, Issue 3, 536(2024)

High Resolution Remote Sensing Image Change Detection Combining Adaptive Morphological Attribute Profile and Decision Fusion

Tao XIE, Shishi CHEN, Jianhua QU, and Chao WANG
Author Affiliations
  • School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing210044, China
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    Figures & Tables(12)
    The overall flow chart of the method presented
    Experimental Datasets
    Experimental results of Dataset 1
    Experimental results of Dataset 2
    Detection results of changes in area A1 and A2
    Detection results of changes in area A3 and A4
    Statistical map of the number and scale of differential profile features of each attribute extracted before and after adding DBFS
    The accuracy evaluation of using different numbers of dfs
    • Table 1. Dataset 1 extracted the dfs scale parameter set

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      Table 1. Dataset 1 extracted the dfs scale parameter set

      属性数据集1尺度参数集数量
      面积(500,4 667, 8 278,11 333,14 111,17 444,21 333,24 944,28 000)9
      标准差(10,12.4,21.5,31.2, 41.5,52.4,53,53.6,70)9
      对角线(10,20,34.5,43.6,55.5,66.4,78.2,100)8
      NMI(0.2,0.230,0.258,0.282,0.303,0.339,0.367,0.409, 0.458,0.5)10
    • Table 2. Dataset 2 extracted the dfs scale parameter set

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      Table 2. Dataset 2 extracted the dfs scale parameter set

      属性数据集2尺度参数集数量
      面积(500,4 111, 7 722,9 944,14 389,16 889,20 778,25 778,28 000)9
      标准差(10,18.5,27.6,31.8,39.1,50,53.6,54.8,55.5,70)10
      对角线(10, 19.1,33.6,44,5,51.8,65.5,76.4,88.2,100)9
      NMI(0.2, 0.209,0.245,0.276,0.291,0.3,0.336,0.412,0.439,0.5)10
    • Table 3. Quantitative evaluation of change detection results by different methods

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      Table 3. Quantitative evaluation of change detection results by different methods

      数据集方法\\评价指标P/%R/%MR/%FR/%F1/%OA/%
      评价标准越高越好越高越好越低越好越低越好越高越好越高越好
      数据集1CVA-OSTU58.1986.0813.927.9069.4491.41
      PCA-D25.2954.1645.8420.4434.4876.68
      IR-MAD73.5649.6050.402.2859.2592.27
      ISFA53.2035.6664.344.0142.7089.16
      KPCA42.0677.0622.9413.5754.4185.37
      本文方法97.6581.0118.990.2288.6797.93
      数据集2CVA-OSTU82.7190.79.304.9286.5294.18
      PCA-D47.5652.3747.6314.9949.8578.29
      IR-MAD65.0020.4779.532.8631.1481.34
      ISFA63.7118.9681.042.8029.2281.08
      KPCA62.0173.8126.1911.7367.3985.29
      本文方法92.8689.4710.531.7991.1396.41
    • Table 4. Validity analysis of DBFS (√ indicates joining,–indicates not joining)

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      Table 4. Validity analysis of DBFS (√ indicates joining,–indicates not joining)

      数据集方法/评价指标P/%R/%MR/%FR/%F1/%OA/%
      评价标准越高越好越高越好越低越好越低越好越高越好越高越好
      数据集1DBFS97.9381.0118.990.2288.6797.93
      DBFS97.6577.5622.440.3286.1495.17
      数据集2DBFS92.8689.4710.531.7991.1396.41
      DBFS89.4488.6411.362.7289.0493.50
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    Tao XIE, Shishi CHEN, Jianhua QU, Chao WANG. High Resolution Remote Sensing Image Change Detection Combining Adaptive Morphological Attribute Profile and Decision Fusion[J]. Remote Sensing Technology and Application, 2024, 39(3): 536

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    Paper Information

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    Received: Jul. 26, 2022

    Accepted: --

    Published Online: Dec. 9, 2024

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.3.0536

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