改进Deeplabv3+的高分辨率遥感影像道路提取模型
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赵凌虎, 袁希平, 甘淑, 胡琳, 丘鸣语
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An information extraction model of roads from high-resolution remote sensing images based on improved Deeplabv3+
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ZHAO Linghu, YUAN Xiping, GAN Shu, HU Lin, QIU Mingyu
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表1 MobileNetv2结构
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Tab.1 Structure of MobileNetv2
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输入/(像素×
通道数) | 模块类型 | t | c | n | s | | 2242×3 | Conv2d | - | 32 | 1 | 2 | | 1122×32 | Bottleneck | 1 | 16 | 1 | 1 | | 1122×16 | Bottleneck | 6 | 24 | 2 | 2 | | 562×24 | Bottleneck | 6 | 32 | 3 | 2 | | 282×32 | Bottleneck | 6 | 64 | 4 | 2 | | 142×64 | Bottleneck | 6 | 96 | 3 | 1 | | 142×96 | Bottleneck | 6 | 160 | 3 | 2 | | 72×160 | Bottleneck | 6 | 320 | 1 | 1 | | 72×320 | Conv2d 1×1 | - | 1 280 | 1 | 1 | | 72×1 280 | Avgpool 7×7 | - | - | 1 | - | | 1×1×1 280 | Conv2d 1×1 | - | k | - | - |
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