基于Sentinel-2的闪电河流域农作物分类研究
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尹燕旻,贾立
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Sentinel-2 Study on Crop Mapping of Shandian River Basin based on Images
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Yanmin Yin,Li Jia
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表7 闪电河流域研究区内作物分类精度统计
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Table 7 The statistics of classification accuracy in Shandian river basin study area
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| 方案一 | | 方案二 | | 方案三 |
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类别 | 子实验a | 子实验b | | 子实验c | 子实验d | | 子实验e | | PA/% | UA/% | PA/% | UA/% | | PA/% | UA/% | PA/% | UA/% | | PA/% | UA/% | 玉米 | 92.28 | 99.83 | 79.57 | 96.20 | | 83.93 | 95.92 | 66.07 | 88.10 | | 83.93 | 100 | 土豆 | 99.11 | 97.17 | 96.94 | 92.11 | | 96.45 | 93.14 | 89.34 | 76.52 | | 97.97 | 93.24 | 胡萝卜 | 99.22 | 98.65 | 94.11 | 94.78 | | 95.90 | 95.12 | 74.59 | 81.25 | | 96.72 | 98.33 | 莜麦 | 99.58 | 99.53 | 91.26 | 94.46 | | 97.98 | 96.04 | 66.67 | 84.62 | | 100 | 98.02 | 树林 | 99.67 | 95.57 | 97.57 | 86.02 | | 93.10 | 93.10 | 86.21 | 74.26 | | 98.85 | 86.87 | 草地 | 87.08 | 98.00 | 54.57 | 76.33 | | 88.33 | 89.08 | 66.67 | 70.18 | | 84.17 | 96.19 | 居民地 | 99.18 | 99.03 | 97.39 | 97.34 | | 99.02 | 98.05 | 100 | 97.76 | | 100 | 99.03 | 裸土 | 98.43 | 99.60 | 96.99 | 97.63 | | 91.07 | 100 | 94.64 | 100 | | 98.21 | 100 | 总精度% | 97.82 | 91.55 | | 95.11 | 84.74 | | 96.35 | Kappa系数 | 0.974 | 0.897 | | 0.941 | 0.815 | | 0.957 |
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