基于光谱聚类的高分影像复杂地块特征提取方法研究
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闫润州,李利伟,王涛,陈俊奇,赖健,张兵
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Spectral Clustering based Feature Extraction for Parcel Classification Using High Spatial Resolution Remote Sensing Images
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Runzhou Yan,Liwei Li,Tao Wang,Junqi Chen,Jian Lai,Bing Zhang
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表7 实验数据2中类别用户精度和制图精度 (%)
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Table 7 User’s accuracy and producer’s accuracy in the No. 2 experiment
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精度类别 | 地物 类别 | 实验1 | 实验2 | 实验3 | 实验4 | 实验5 |
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组合1 | 组合2 | 组合1 | 组合2 | 组合1 | 组合2 | 组合1 | 组合2 | 组合1 | 组合2 |
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制图精度 | 水稻 | 82.81 | 86.72 | 82.81 | 85.94 | 79.69 | 84.38 | 80.47 | 83.59 | 82.03 | 82.03 | 林地 | 77.06 | 85.32 | 77.06 | 83.26 | 81.65 | 86.24 | 79.36 | 86.01 | 86.24 | 88.99 | 廊道 | 75.00 | 71.67 | 75.00 | 78.33 | 61.67 | 76.67 | 71.67 | 76.67 | 66.67 | 76.67 | 菜地 | 42.65 | 44.12 | 42.65 | 42.65 | 50.00 | 51.47 | 38.24 | 39.71 | 44.12 | 47.06 | 水产地 | 93.75 | 91.15 | 93.75 | 95.83 | 94.27 | 94.79 | 96.35 | 94.27 | 95.83 | 95.83 | 大棚 | 57.14 | 50.00 | 57.14 | 57.14 | 71.43 | 57.14 | 50.00 | 64.29 | 57.14 | 57.14 | 用户精度 | 水稻 | 74.13 | 80.43 | 74.13 | 80.29 | 77.27 | 82.44 | 78.03 | 82.31 | 83.33 | 85.37 | 林地 | 92.56 | 91.18 | 92.56 | 91.90 | 90.82 | 91.71 | 90.34 | 88.86 | 89.95 | 90.87 | 廊道 | 46.39 | 53.09 | 46.39 | 52.81 | 46.84 | 57.50 | 48.86 | 53.49 | 50.00 | 54.12 | 菜地 | 34.94 | 48.39 | 34.94 | 43.94 | 44.16 | 54.69 | 36.11 | 48.21 | 53.57 | 64.00 | 水产地 | 91.37 | 88.38 | 91.37 | 93.40 | 90.05 | 91.46 | 88.52 | 94.76 | 90.20 | 92.00 | 大棚 | 53.33 | 63.64 | 53.33 | 57.14 | 58.82 | 57.14 | 50.00 | 69.23 | 57.14 | 61.54 |
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