黑河流域植被类型分布模拟分析
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周勋, 范泽孟, 岳天祥
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Simulation of Vegetation Distribution in Heihe River Basin Based on SVM
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ZHOU Xun,FAN Zemeng,YUE Tianxiang
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| 表2 植被分布模拟结果的混淆矩阵（km2） |
| Tab.2 Confusion matrix of the simulation results of vegetation distribution （km2） |
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| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | 合计 | | A | 62.54 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.11 | 0.00 | 0.60 | 2.36 | 0.04 | 0.69 | 0.12 | 0.04 | 0.04 | 1.13 | 0.00 | 0.00 | 0.97 | 0.00 | 0.23 | 3.84 | 0.00 | 0.71 | 73.39 | | B | 0.00 | 0.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.25 | 0.02 | 0.00 | 0.32 | | C | 0.00 | 0.00 | 9.18 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 1.64 | 0.03 | 3.75 | 0.01 | 0.01 | 1.99 | 0.85 | 0.05 | 1.42 | 0.00 | 0.04 | 0.00 | 0.00 | 0.62 | 0.00 | 0.01 | 19.59 | | D | 0.01 | 0.00 | 0.00 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.01 | 0.00 | 0.30 | | E | 0.12 | 0.00 | 0.00 | 0.00 | 6.45 | 0.00 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.01 | 0.00 | 8.14 | | F | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | | G | 0.82 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 14.49 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.06 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 4.09 | 0.09 | 0.03 | 21.57 | | H | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.28 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.34 | | I | 1.30 | 0.00 | 1.22 | 0.00 | 0.57 | 0.01 | 0.00 | 0.00 | 35.38 | 1.60 | 2.15 | 0.47 | 0.06 | 0.85 | 2.06 | 0.05 | 0.10 | 0.00 | 1.18 | 0.00 | 0.02 | 2.35 | 0.00 | 0.00 | 48.77 | | J | 3.65 | 0.00 | 0.06 | 0.00 | 0.00 | 0.03 | 0.00 | 0.00 | 1.81 | 17.86 | 0.22 | 0.02 | 0.05 | 0.84 | 0.04 | 0.07 | 0.00 | 0.00 | 0.54 | 0.00 | 0.29 | 2.24 | 0.00 | 0.00 | 27.70 | | K | 0.04 | 0.00 | 12.12 | 0.00 | 0.00 | 0.02 | 0.10 | 0.00 | 4.03 | 0.20 | 85.23 | 0.08 | 0.32 | 5.30 | 1.77 | 0.52 | 11.24 | 0.00 | 0.00 | 0.00 | 0.00 | 0.58 | 0.00 | 0.49 | 122.02 | | L | 1.07 | 0.00 | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.04 | 0.15 | 0.05 | 0.00 | 5.46 | 0.01 | 0.00 | 0.02 | 0.08 | 0.00 | 0.00 | 0.32 | 0.00 | 0.00 | 1.75 | 0.00 | 0.00 | 8.90 | | M | 0.07 | 0.00 | 0.04 | 0.00 | 0.54 | 0.04 | 0.00 | 0.00 | 0.02 | 0.01 | 0.20 | 0.01 | 0.71 | 0.05 | 0.21 | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.11 | 0.00 | 0.00 | 1.48 | | N | 0.04 | 0.00 | 2.36 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1.32 | 0.64 | 4.04 | 0.00 | 0.06 | 10.06 | 1.40 | 0.01 | 1.13 | 0.00 | 0.05 | 0.00 | 0.01 | 0.83 | 0.00 | 0.02 | 21.96 | | O | 0.02 | 0.00 | 1.35 | 0.02 | 0.00 | 0.01 | 0.01 | 0.02 | 3.76 | 0.25 | 2.31 | 0.13 | 0.31 | 0.76 | 14.97 | 0.00 | 0.21 | 0.00 | 0.17 | 0.00 | 0.05 | 0.54 | 0.00 | 0.00 | 24.82 | | P | 2.16 | 0.00 | 0.02 | 0.00 | 0.20 | 0.00 | 0.17 | 0.00 | 0.05 | 0.16 | 0.10 | 0.84 | 0.00 | 0.01 | 0.00 | 106.30 | 0.02 | 0.00 | 5.35 | 0.00 | 0.00 | 24.70 | 5.71 | 1.45 | 147.04 | | Q | 0.00 | 0.00 | 1.62 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.26 | 0.00 | 8.59 | 0.00 | 0.03 | 0.77 | 0.10 | 0.05 | 12.09 | 0.00 | 0.00 | 0.00 | 0.00 | 0.05 | 0.00 | 1.31 | 24.85 | | R | 0.00 | 0.00 | 0.10 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.19 | 0.00 | 0.64 | 0.00 | 0.00 | 0.07 | 0.00 | 0.01 | 0.08 | 3.24 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 4.33 | | S | 1.58 | 0.00 | 0.03 | 0.00 | 0.24 | 0.00 | 0.00 | 0.00 | 1.26 | 0.80 | 0.00 | 0.04 | 0.00 | 0.15 | 0.06 | 2.20 | 0.00 | 0.00 | 18.47 | 0.00 | 0.00 | 3.05 | 0.22 | 0.01 | 27.85 | | T | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.04 | 0.00 | 0.07 | 0.02 | 0.00 | 0.13 | | U | 0.46 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.21 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 2.93 | 0.00 | 0.00 | 0.06 | 3.66 | | V | 10.18 | 0.03 | 0.48 | 0.00 | 0.00 | 0.01 | 10.08 | 0.00 | 1.73 | 1.62 | 0.41 | 2.99 | 0.14 | 0.63 | 0.27 | 66.31 | 0.03 | 0.00 | 6.16 | 0.61 | 0.01 | 514.35 | 22.76 | 1.68 | 640.47 | | W | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.37 | 0.00 | 0.00 | 0.00 | 6.95 | 0.00 | 0.00 | 0.53 | 0.25 | 0.00 | 10.81 | 31.47 | 0.00 | 50.38 | | X | 0.00 | 0.00 | 0.02 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.28 | 0.00 | 0.00 | 0.04 | 0.00 | 0.18 | 0.77 | 0.00 | 0.00 | 0.00 | 0.00 | 0.02 | 0.01 | 2.05 | 3.35 | | 合计 | 84.03 | 0.09 | 28.58 | 0.26 | 7.79 | 0.11 | 25.18 | 0.34 | 52.18 | 25.80 | 107.95 | 11.12 | 1.82 | 21.53 | 21.77 | 185.97 | 27.09 | 3.24 | 33.74 | 0.90 | 3.54 | 570.26 | 60.31 | 7.82 | 1281.38 | | 总体精度（OA）= 75.54% Kappa系数=0.66 |
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