基于Inception-V3模型的高分遥感影像场景分类
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蔡之灵, 翁谦, 叶少珍, 简彩仁
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Remote sensing image scene classification based on Inception-V3
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CAI Zhiling, WENG Qian, YE Shaozhen, JIAN Cairen
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表2 各类方法分类test_accuracy对比
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Tab.2 Comparison of classification accuracy(%)
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方法 | test_accuracy | 方法 | test_accuracy | AID | NWPU-RESISC45 | AID | NWPU-RESISC45 | LBP | 26.26±0.52 | 21.74±0.18 | SPM+CH | 41.27±0.49 | 41.82±0.21 | CH | 34.29±0.40 | 27.52±0.14 | VLAD+CH | 44.78±0.28 | 50.57±0.48 | SIFT | 13.24±0.74 | 11.48±0.21 | AlexNet | 86.34±0.43 | 79.24±0.10 | GIST | 30.61±0.63 | 17.88±0.22 | VGG-16 | 86.87±0.41 | 82.21±0.32 | BoVW+CH | 47.77±0.52 | 49.87±0.23 | GooLeNet | 83.84±0.36 | 78.47±0.28 | IFK+CH | 64.83±0.42 | 66.47±0.27 | ResNet50 | 89.70±1.05 | 88.35±0.49 | LLC+CH | 49.36±0.57 | 46.81±0.30 | Inception-V3 | 94.18±0.40 | 93.40±0.28 | pLSA+CH | 42.87±0.54 | 41.97±0.43 | Inception-L1 | 94.44±0.23 | 93.95±0.15 |
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