基于高分辨率与高光谱遥感影像的北亚热带马尾松及次生落叶树种的分类
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申鑫, 曹林, 徐婷, 佘光辉
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Classification of Pinus massoniana and secondary deciduous tree species in northern subtropical region based on high resolution and hyperspectral remotely sensed data
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SHEN Xin,CAO Lin,XU Ting,SHE Guang-Hui
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表3 四树种分类混淆矩阵 |
Table 3 The confusion matrix of four species classification |
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| 马尾松 Pinus massoniana | 麻栎 Quercus acutissima | 枫香树 Liquidambar formosana | 板栗 Castanea mollissima | 全部特征变量 All metrics (n = 47) | 马尾松 Pinus massoniana | 61.2 | 19.0 | 15.5 | 4.3 | 麻栎 Quercus acutissima | 15.0 | 65.8 | 7.5 | 11.7 | 枫香树 Liquidambar formosana | 10.0 | 16.7 | 60.0 | 13.3 | 板栗 Castanea mollissima | 13.9 | 5.6 | 5.6 | 75.0 | | 总体精度 Over accuracy: 64.6% | Kappa系数 Kappa coefficient: 0.493 | 重要特征变量 The most important metrics (n = 12) | 马尾松 Pinus massoniana | 58.6 | 25.9 | 11.2 | 4.3 | 麻栎 Quercus acutissima | 21.7 | 65.8 | 3.3 | 9.2 | 枫香树 Liquidambar formosana | 13.3 | 19.0 | 51.0 | 16.7 | 板栗 Castanea mollissima | 8.3 | 8.6 | 5.3 | 77.8 | | 总体精度 Over accuracy: 62.9% | Kappa系数 Kappa coefficient: 0.459 |
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