基于高分二号遥感影像的树种分类方法
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李哲,张沁雨,彭道黎
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Classification Method of Tree Species based on GF-2 Remote Sensing Images
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Zhe Li,Qinyu Zhang,Daoli Peng
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表 9 不同特征维度下RF的精度比较
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Table 9 Accuracy comparison of RF under different feature dimensions
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| C5.0 | | SVM-RFE | | FSO | | ALL |
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| 生产者精度/% | 用户精度/% | | 生产者精度/% | 用户精度/% | | 生产者精度/% | 用户精度/% | | 生产者精度/% | 用户精度/% | 灌木林地 | 92.79 | 90.35 | | 92.79 | 90.35 | | 92.79 | 90.35 | | 92.79 | 90.35 | 非林地 | 100.00 | 91.04 | 100.00 | 91.04 | 100.00 | 91.04 | 100.00 | 91.04 | 山杏 | 87.50 | 87.50 | 71.88 | 56.10 | 84.38 | 84.38 | 81.25 | 83.87 | 侧柏 | 83.02 | 60.27 | 69.81 | 60.66 | 83.02 | 64.71 | 79.25 | 62.69 | 榆树 | 63.33 | 63.33 | 56.67 | 44.74 | 66.67 | 52.63 | 66.67 | 57.14 | 刺槐 | 61.90 | 78.79 | 38.10 | 51.61 | 59.52 | 78.13 | 59.52 | 73.53 | 油松 | 80.73 | 95.65 | 81.65 | 91.75 | 80.73 | 96.70 | 80.73 | 94.62 | 元宝枫 | 89.58 | 97.73 | 54.17 | 81.25 | 85.42 | 97.62 | 85.42 | 97.62 | 杨树 | 83.78 | 93.94 | 56.76 | 58.33 | 81.08 | 88.24 | 78.38 | 90.63 | 华北落叶松 | 89.47 | 70.83 | 89.47 | 68.00 | 89.47 | 70.83 | 89.47 | 62.96 | 总体精度/% | 84.87 | | 75.65 | | 84.13 | | 83.39 | Kappa系数 | 0.83 | | 0.72 | | 0.82 | | 0.81 |
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