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1 0 粗糙集属性约简的BP神经网络分类结果的混淆矩阵 |
Table 1 0 BP neural network classification results confusion matrix based on rough set attribute reduction |
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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 | 96 | 10 | 2 | 0 | 1 | 3 | 0 | 0 | 112 | 85.71 | 养殖塘 | 10 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 86.49 | 碱蓬 | 0 | 0 | 43 | 1 | 3 | 2 | 0 | 0 | 49 | 87.76 | 芦苇 | 0 | 0 | 0 | 121 | 2 | 5 | 4 | 0 | 132 | 91.67 | 水田 | 1 | 1 | 0 | 0 | 55 | 3 | 1 | 2 | 63 | 87.30 | 滩地 | 0 | 0 | 4 | 0 | 2 | 89 | 0 | 4 | 99 | 89.90 | 居民点 | 0 | 1 | 0 | 3 | 0 | 0 | 33 | 0 | 37 | 89.19 | 混合植被 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 23 | 28 | 82.14 | 合计 | 107 | 76 | 51 | 128 | 63 | 102 | 38 | 29 | 594 | | 制图精度/% | 89.72 | 84.21 | 84.31 | 94.53 | 87.30 | 87.25 | 86.84 | 79.31 | | | 总体精度:88.22% | Kappa系数:0.8612 |
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