Remote Sensing Technology and Application, Volume. 39, Issue 2, 315(2024)

Different Spatial Resolutions based on Object-oriented CNN and RF Research on Agricultural Greenhouse Extraction from Remote Sensing Images

Xinyi LIN1,2、*, Xiaoqin WANG1,2, Zixia TANG1,2, Mengmeng LI1,2, Ruijiao WU3, and Dehua HUANG3
Author Affiliations
  • 1Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350108,China
  • 2The Academy of Digital China (Fujian),Fuzhou University,Fuzhou 350108,China
  • 3Fujian Geologic Surveying and Mapping Institute,Fuzhou 350011,China
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    Figures & Tables(11)
    Distribution of key research areas and sample points in Fu'an City
    Example of local true color band combinations of canopies with different spatial resolution images
    Basic structure of the residual unit
    Object-oriented CNN method(OCNNFT) flowchart
    Fine-tuning results of CNN models on different resolution images
    Greenhouse distribution based on RF method and OCNNFT method
    Detailed diagram of classification effect of different methods
    PA, UA, OA and F-score of agricultural greenhouses under different resolution images
    • Table 1. Remote sensing image acquisition in the study area

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      Table 1. Remote sensing image acquisition in the study area

      卫星传感器影像分辨率获取时间
      GF-1 PMS2 m(全色)、8 m(多光谱)2020.04
      GF-1 WFV16 m(多光谱)2020.04
      GF-2 PMS1 m(全色)、4 m(多光谱)2017.04
      Sentinel-2 MSI10 m(可见近红外波段)2020.04
    • Table 2. Feature variables for agricultural greenhouse extraction

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      Table 2. Feature variables for agricultural greenhouse extraction

      特征类别特征名称数量
      光谱特征光谱最大差分、各波段均值(Mean B、Mean G、Mean R、Mean NIR)、亮度值、归一化植被指数、归一化差值湿度指数8
      纹理特征均值、方差、熵、同质度、对比度、非相似性、角二阶矩、相关性(0°、45°、90°、135°)32
      几何特征面积、长宽比、边界长度、不对称性、形状指数、密度、主要方向、紧凑度、圆、边界指数10
    • Table 3. McNemar test results based on RF method and OCNNFT method(significance α=0.05)

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      Table 3. McNemar test results based on RF method and OCNNFT method(significance α=0.05)

      RFOCNNFT
      1 m2 m4 m8 m10 m16 m1 m2 m4 m8 m10 m16 m
      1 m1 m
      2 m0.872 m1.36
      4 m0.560.694 m5.622.09
      8 m1.630.741.088 m6.047.670.96
      10 m3.102.551.672.8010 m3.285.522.613.58
      16 m5.354.533.745.002.4116 m9.619.395.725.317.83
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    Xinyi LIN, Xiaoqin WANG, Zixia TANG, Mengmeng LI, Ruijiao WU, Dehua HUANG. Different Spatial Resolutions based on Object-oriented CNN and RF Research on Agricultural Greenhouse Extraction from Remote Sensing Images[J]. Remote Sensing Technology and Application, 2024, 39(2): 315

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    Paper Information

    Category: Research Articles

    Received: Mar. 9, 2023

    Accepted: --

    Published Online: Aug. 13, 2024

    The Author Email: Xinyi LIN (343416403@qq.com)

    DOI:10.11873/j.issn.1004-0323.2024.2.0315

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