基于深度学习的高分辨率遥感影像土地覆盖自动分类方法

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Automatic Deep Learning Land Cover Classification Methods of High-resolution Remotely Sensed Images

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表2 EfficientUNet和MS-EfficientUNet网络的详细配置

Tab. 2 Detailed configuration of the EfficientUNet and MS-EfficientUNet

EfficientUNet/MS-EfficientUNet 操作 卷积核大小 输出尺寸/ 像素 输入 — — 512×512 编码器 Basic Conv 3×3 256×256 MBConv1 × 2 3×3 256×256 MBConv6 × 3 3×3 128×128 MBConv6 × 3 5×5 64×64 MBConv6 × 5 3×3 32×32 MBConv6 × 5 5×5 32×32 MBConv6 × 6 5×5 16×16 MBConv6 × 2 3×3 16×16 桥梁 Basic Conv 1×1 16×16 Upsampling — 32×32 解码器 Basic Conv 3×3 32×32 Upsampling — 64×64 Basic Conv 3×3 64×64 Upsampling — 128×128 Basic Conv 3×3 128×128 Upsampling — 512×512