随机森林方法支持的复杂地形区土地利用/土地覆被分类研究
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马慧娟, 高小红, 谷晓天
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Random Forest Classification of Landsat 8 Imagery for the Complex Terrain Area based on the Combination of Spectral, Topographic and Texture Information
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Huijuan MA, Xiaohong GAO, Xiaotian GU
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表9 川水区优化选择纹理特征分类精度评价 |
Tab. 9 Accuracles assessment of classification from optimized selection of texture feature in the valley plain area |
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土地利用类型 | 6MS+DEM+NDVI+TXT(8) | | 6MS+DEM+NDVI +TXT(var) | | 6MS+TXT(Var)+PCA1 | | 6MS+TXT(var)+PCA2 | 制图精度/% | 用户精度/% | 制图精度/% | 用户精度/% | 制图精度/% | 用户精度/% | 制图精度/% | 用户精度/% | 水浇地 | 90.91 | 96.39 | | 88.64 | 88.65 | | 90.59 | 86.52 | | 90.59 | 86.52 | 旱地 | 96.97 | 81.01 | | 95.45 | 88.73 | | 84.29 | 90.77 | | 84.29 | 90.77 | 林地 | 77.83 | 74.71 | | 78.17 | 70.59 | | 70.00 | 80.00 | | 70.00 | 71.30 | 高草地 | 75.00 | 85.00 | | 80.00 | 94.12 | | 70.77 | 88.89 | | 70.77 | 80.00 | 中草地 | 91.11 | 88.70 | | 93.33 | 95.45 | | 85.45 | 87.04 | | 83.64 | 90.20 | 低草地 | 89.66 | 76.47 | | 89.66 | 80.00 | | 76.19 | 73.85 | | 77.78 | 75.38 | 水域 | 92.30 | 92.73 | | 94.70 | 89.47 | | 98.08 | 78.46 | | 70.00 | 77.61 | 城乡用地 | 89.77 | 86.81 | | 92.05 | 88.04 | | 87.95 | 73.00 | | 87.95 | 70.19 | 未利用 | 76.67 | 70.00 | | 78.00 | 73.33 | | 82.50 | 75.79 | | 75.00 | 72.22 | 总体精度/% | 86.78 | | 87.42 | | 80.44 | | 80.85 | Kappa系数 | 0.847 | | 0.854 | | 0.774 | | 0.779 |
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