不同上下文比例对损毁建筑遥感场景图片样本集构建的影响
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邰佳怡, 慎利, 乔文凡, 周吾珍
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Impacts of different proportions of contextual information on the construction of sample sets of remote sensing scene images for damaged buildings
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TAI Jiayi, SHEN Li, QIAO Wenfan, ZHOU Wuzhen
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表1 分类实验结果表
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Tab.1 Results of classification experiments(%)
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模型 | 模型平均 | 上下文信息占比 | 70 | 75 | 80 | 85 | 90 | 95 | AlexNet | 90.27 | 90.40 | 90.40 | 90.52 | 90.63 | 90.40 | 89.28 | VGGNet | 92.18 | 92.42 | 92.20 | 92.59 | 92.42 | 92.14 | 91.30 | GoogLeNet | 93.13 | 93.99 | 94.22 | 93.99 | 93.21 | 92.20 | 91.19 | ResNet | 89.62 | 91.75 | 91.98 | 91.81 | 88.78 | 86.92 | 86.48 | SqueezeNet | 90.66 | 91.98 | 91.98 | 92.20 | 90.85 | 90.01 | 86.92 | 上下文信息占比平均 | — | 92.11 | 92.16 | 92.22 | 91.18 | 90.33 | 89.03 |
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