基于相容粗糙集的BP神经网络湿地覆被信息提取——以双台子河口湿地为例
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周林飞, 姚雪, 芦晓峰
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Wetland land-cover information extraction of BP neural network based on tolerant rough set in Shuangtaizi estuarine wetland
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ZHOU Linfei,YAO Xue,LU Xiaofeng
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表8 单纯的BP神经网络分类结果的混淆矩阵 |
Table 8 Traditional BP neural network classification results confusion matrix |
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类型 | 水域 | 养殖塘 | 碱蓬 | 芦苇 | 水田 | 滩地 | 居民点 | 混合植被 | 合计 | 用户精度/% | 水域 | 94 | 11 | 0 | 0 | 0 | 9 | 0 | 0 | 114 | 82.46 | 养殖塘 | 13 | 63 | 0 | 0 | 1 | 1 | 0 | 0 | 78 | 80.77 | 碱蓬 | 0 | 0 | 42 | 0 | 4 | 0 | 2 | 0 | 48 | 87.50 | 芦苇 | 0 | 0 | 0 | 106 | 2 | 7 | 4 | 0 | 119 | 89.08 | 水田 | 0 | 0 | 0 | 6 | 48 | 0 | 0 | 4 | 58 | 82.76 | 滩地 | 0 | 0 | 8 | 0 | 8 | 85 | 0 | 0 | 101 | 84.16 | 居民点 | 0 | 0 | 0 | 12 | 0 | 0 | 32 | 0 | 44 | 72.73 | 混合植被 | 0 | 2 | 1 | 4 | 0 | 0 | 0 | 25 | 32 | 78.13 | 合计 | 107 | 76 | 51 | 128 | 63 | 102 | 38 | 29 | 594 | | 制图精度/% | 87.85 | 82.89 | 82.35 | 82.81 | 76.19 | 83.33 | 84.21 | 86.21 | | | 总体精度:83.33% | Kappa系数:0.804 3 |
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