Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 6, 151(2024)
High-Resolution Remote Sensing Image Building Extraction Method Based on MFF-DeeplabV3+
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Table 1. Hardware and software environment configuration information
View tableView in ArticleTable 1. Hardware and software environment configuration information
软（硬）件名称 CPU 内存大小 显卡 操作系统 CUDA Python Pytorch 开发环境 参数 信息 Intel Xeon Gold 6254 128 GB GeForce RTX 3090 Windows Server 2019 11.2 3.7.11 1.7.1 Visual Studio Code 1.70.1
Table 2. Model parameter configuration
View tableView in ArticleTable 2. Model parameter configuration
参数名称 批处理大小 最大迭代次数 初始学习率 优化器 参数值 8 150 0.0001 Adam
Table 3. Experimental indicators for different backbone networks
% View tableView in ArticleTable 3. Experimental indicators for different backbone networks
% 主干网络 P R F1 IoU ResNet101 92.81 92.20 92.50 86.06 SE_ResNet101 94.07 93.70 93.88 88.48 ResNeXt101_32x4d 93.76 92.4% 93.11 87.10 SE_ResNeXt101_32x4d 94.00 93.47 93.73 88.20
Table 4. MFF experimental indicators
% View tableView in ArticleTable 4. MFF experimental indicators
% 主干网络 P R F1 IoU Efficientnet-b0 92.96 90.84 91.89 85.00 Efficientnet-b0-MFF 92.54 91.40 91.97 85.13 MobileNetV2 91.84 91.88 91.86 84.95 MobileNetV2-MFF 92.78 90.95 91.86 84.94 timm-gernet_l 92.73 91.36 92.04 85.25 timm-gernet_l-MFF 93.26 91.20 92.22 85.56 timm-skResNeXt50_32x4d 93.81 92.65 93.23 87.32 timm-skResNeXt50_32x4d-MFF 93.27 92.80 93.26 87.37 SE_ResNet152 93.39 94.07 94.00 88.68 SE_ResNet152-MFF 94.18 93.97 94.08 88.82 SENet154 94.66 93.30 93.98 88.64 SENet154-MFF 94.82 94.24 94.53 89.63
Table 5. Experimental indicators for different methods
% View tableView in ArticleTable 5. Experimental indicators for different methods
% 方法名称 P R F1 IoU UNet-3Plus 94.03 93.30 93.66 88.09 MobileNetV3 94.21 92.60 93.40 87.62 SegNet 93.63 92.77 93.20 87.27 PSPNet 92.80 91.82 92.31 85.72 EncNet 94.18 93.14 93.66 88.07 CDCA-DLV3+ 94.34 92.82 93.57 87.93 MANet 93.03 92.31 92.67 86.35 HRNetV2_W48 92.10 93.73 92.91 86.75 本文方法 94.82 94.24 94.53 89.63
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Siyan LIU, Chunyue WANG, Lu FU, Ling LI. High-Resolution Remote Sensing Image Building Extraction Method Based on MFF-DeeplabV3+[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(6): 151
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Received: May. 17, 2024
Accepted: --
Published Online: Jan. 23, 2025
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