基于DCNN特征的建筑物震害损毁区域检测
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周阳, 张云生, 陈斯飏, 邹峥嵘, 朱耀晨, 赵芮雪
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Disaster damage detection in building areas based on DCNN features
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Yang ZHOU, Yunsheng ZHANG, Siyang CHEN, Zhengrong ZOU, Yaochen ZHU, Ruixue ZHAO
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表2 验证集分类结果
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Tab.2 Verification set classification results
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| 模型 | VGGNet | AlexNet | | 验证区域 | 验证区域1 | 验证区域2 | 验证区域1 | 验证区域2 | | 实际检测 | 损毁 | 未损毁 | 总计 | 损毁 | 未损毁 | 总计 | 损毁 | 未损毁 | 总计 | 损毁 | 未损毁 | 总计 | | 损毁 | 861 | 129 | 990 | 718 | 166 | 884 | 855 | 291 | 1146 | 647 | 158 | 805 | | 未损毁 | 150 | 1 397 | 1 547 | 53 | 663 | 716 | 156 | 1 235 | 1 391 | 124 | 671 | 795 | | 总计 | 1 011 | 1 526 | 2 537 | 771 | 829 | 1 600 | 1 011 | 1 526 | 2 537 | 771 | 829 | 1 600 | | 漏检率/% | 12.8 | 6.9 | 15.4 | 16.1 | | 误检率/% | 9.8 | 20.0 | 19.1 | 19.1 | | 正确率/% | 89.0 | 86.3 | 82.4 | 82.4 |
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