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DCM————DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

Created2025-06-04|Updated2025-06-04
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Author: ALTNT
Link: http://blog.705553939.xyz/2025/06/04/crop_classification/Crop%20classification/2020-RSE-DeepCropMapping/
Copyright Notice: All articles in this blog are licensed under CC BY-NC-SA 4.0 unless stating additionally.
crop classificationCross-phenological-region
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Contents
  1. 1. DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
    1. 1.1. 摘要
    2. 1.2. 引言
      1. 1.2.1. 陆地卫星分析就绪数据(ARD)
      2. 1.2.2. 作物数据图层(CDL)
    3. 1.3. 材料与方法
      1. 1.3.1. 2.1。分类方法
        1. 1.3.1.1. 2.1.1. DeepCropMapping
          1. 1.3.1.1.1. 2.1.1.1. 输入模块。
          2. 1.3.1.1.2. 2.1.1.2. AtBiLSTM 模块。
          3. 1.3.1.1.3. 2.1.1.3输出模块
        2. 1.3.1.2. 2.1.2 transformer
      2. 1.3.2. 2.2 数据
      3. 1.3.3. 2.3.实验设计
      4. 1.3.4. 3. 结果与讨论
        1. 1.3.4.1. 3.1 基于时间序列比较的时空分析
        2. 1.3.4.2. 3.2 季末分类
        3. 1.3.4.3. 3.3 季中分类
        4. 1.3.4.4. 3.4 理解DeepCropMapping分类的学习过程
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