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6 实验数据1中类别用户精度和制图精度 (%)
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Table 6 User’s accuracy and producer’s accuracy in the No. 1 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 | 69.16 | 75.80 | 69.16 | 76.23 | 82.25 | 83.66 | 73.16 | 75.80 | 83.11 | 83.78 | 林地 | 71.79 | 73.59 | 71.79 | 75.39 | 79.23 | 80.21 | 70.32 | 75.14 | 79.89 | 82.01 | 菜地 | 53.74 | 59.86 | 53.74 | 56.46 | 56.46 | 57.14 | 51.70 | 59.86 | 55.78 | 56.46 | 水产地 | 89.10 | 92.10 | 89.10 | 91.55 | 92.37 | 92.92 | 90.19 | 92.10 | 92.92 | 93.73 | 用户精度 | 水稻 | 83.04 | 85.16 | 83.04 | 85.76 | 88.50 | 89.08 | 83.29 | 85.40 | 88.32 | 88.57 | 林地 | 68.97 | 74.26 | 68.97 | 73.76 | 81.09 | 82.02 | 69.75 | 73.93 | 81.83 | 82.05 | 菜地 | 24.09 | 28.57 | 24.09 | 29.75 | 29.75 | 31.70 | 23.38 | 30.45 | 31.66 | 34.02 | 水产地 | 80.15 | 85.35 | 80.15 | 86.38 | 89.68 | 90.93 | 87.80 | 87.11 | 89.74 | 89.82 |
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