一种轻量级的DeepLabv3+遥感影像建筑物提取方法
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王华俊, 葛小三
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Lightweight DeepLabv3+ building extraction method from remote sensing images
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WANG Huajun, GE Xiaosan
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表1 MobileNetv2网络结构及参数
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Tab.1 Network structure and parameters of MobileNetv2
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| 输入 | 操作 | 扩张
倍数 | 输出通
道数 | 重复
次数 | 步长 | | 2242×3 | 卷积层 | — | 32 | 1 | 2 | | 1122×32 | 瓶颈层 | 1 | 16 | 1 | 1 | | 1122×16 | 瓶颈层 | 6 | 24 | 2 | 2 | | 562×24 | 瓶颈层 | 6 | 32 | 3 | 2 | | 282×32 | 瓶颈层 | 6 | 64 | 4 | 2 | | 282×64 | 瓶颈层 | 6 | 96 | 3 | 1 | | 142×96 | 瓶颈层 | 6 | 160 | 3 | 2 | | 72×160 | 瓶颈层 | 6 | 320 | 1 | 1 | | 72×320 | 1×1卷积层 | — | 1 280 | 1 | 1 | | 72×1 280 | 7×7平均池化层 | — | — | 1 | — | | 1×1×k | 1×1卷积层 | — | k | — | — |
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