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
|
周林飞, 姚雪, 芦晓峰
|
Wetland land-cover information extraction of BP neural network based on tolerant rough set in Shuangtaizi estuarine wetland
|
ZHOU Linfei,YAO Xue,LU Xiaofeng
|
|
表9 基于相容粗糙集的BP神经网络分类结果的混淆矩阵 |
Table 9 BP neural network classification results confusion matrix based on tolerant rough set |
|
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 | 98 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 107 | 91.59 | 养殖塘 | 9 | 67 | 0 | 0 | 1 | 0 | 0 | 0 | 77 | 87.01 | 碱蓬 | 0 | 0 | 43 | 0 | 0 | 0 | 3 | 0 | 46 | 93.48 | 芦苇 | 0 | 9 | 0 | 126 | 1 | 0 | 0 | 0 | 136 | 92.65 | 水田 | 0 | 0 | 8 | 0 | 57 | 0 | 0 | 0 | 65 | 87.69 | 滩地 | 0 | 0 | 0 | 0 | 2 | 93 | 0 | 2 | 97 | 95.88 | 居民点 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 4 | 39 | 89.74 | 混合植被 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 23 | 27 | 85.19 | 合计 | 107 | 76 | 51 | 128 | 63 | 102 | 38 | 29 | 594 | | 制图精度/% | 91.59 | 88.16 | 84.31 | 98.44 | 90.48 | 91.18 | 92.11 | 79.31 | | | 总体精度:91.25% | Kappa系数:0.896 9 |
|
|
|