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

李国清, 柏永青, 杨轩, 陈正超, 余海坤

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

LI Guoqing, BAI Yongqing, YANG Xuan, CHEN Zhengchao, YU Haikun

表1 ResUNet和MS-ResUNet网络的详细配置

Tab. 1 Detailed configuration of the ResUNet and MS-ResUNet

ResUNet/MS-ResUNet 操作 卷积核大小 输出尺寸/ 像素 输入 — — 512×512 编码器 Basic Conv 7×7 256×256 Max Pool 3×3 128×128 Basic ResBlock × 3 3×3 128×128 Basic ResBlock × 4 3×3 64×64 Basic ResBlock × 6 3×3 32×32 Basic ResBlock × 3 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