基于U-Net的高分辨率遥感图像土地利用信息提取
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陈妮,应丰,王静,李健
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Research on Land Use Information Extraction based on U-Net
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Ni Chen,Feng Ying,Jing Wang,Jian Li
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表1 土地利用分类结果的精度评估
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Table 1 Accuracy evaluation of land use classification results
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序 号 | 地类 | U-Net | SegNet |
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IoU(%) | Precision(%) | Recall(%) | IoU(%) | Precision(%) | Recall(%) |
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1 | 耕地 | 91.98 | 93.33 | 98.45 | 90.98 | 93.04 | 97.63 | 2 | 园地 | 88.82 | 92.05 | 96.2 | 87.79 | 91.35 | 95.74 | 3 | 林地 | 94.96 | 96.13 | 98.73 | 94.65 | 95.92 | 98.62 | 4 | 草地 | 87.14 | 89.96 | 96.52 | 86.69 | 89.69 | 96.28 | 5 | 建设用地 | 94.84 | 96.53 | 98.19 | 94.33 | 96.86 | 97.31 | 6 | 交通运输用地 | 87.67 | 89.45 | 97.78 | 87.04 | 89.01 | 97.52 | 7 | 水域 | 89.02 | 92.67 | 95.76 | 89.23 | 93.31 | 95.33 | 8 | 其他土地 | 88.15 | 91.97 | 95.5 | 86.23 | 90.85 | 94.43 | 9 | 扰动用地 | 90.53 | 92.69 | 97.49 | 90.27 | 92.51 | 97.39 | 总体精度 | 90.95 | 93.2 | 97.42 | 90.31 | 92.95 | 96.95 | Kappa系数 | 0.86 | 0.84 |
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