“编辑特征”的工作原理
编辑特征工具用于修改现有特征文件。该工具最常见的用途在于减少类的数量。要确定应对哪些类特征进行更改以生成一个更精确的分类，可使用树状图工具查看树示意图。
示例
以下示例显示了如何对包含 14 个类的特征文件进行编辑以使其仅包含 7 个类。这可通过删除不需要的类和合并相似类来实现。以下是将用于编辑特征文件的输入特征重映射文件。该文件分别将类 8、21 和 3、9 和 1、14 和 4、15 和 7、23 和 6 进行合并，同时删除类 11。
8 : 3 9 : 1 11 : -9999 14 : 4 15 : 7 21 : 3 23 : 6
输出特征文件
编辑特征工具生成的输出特征文件如下所示：
# Signatures Produced by ClassSig from Class-Grid zsamp12 and Stack redl123 # Number of selected grids /* 3 # Layer-Number Grid-name /* 1 redlands1 /* 2 redlands2 /* 3 redlands3 # Type Number of Classes Number of Layers Number of Parametric Layers 1 14 3 3 # =============================================================== # Class ID Number of Cells Class Name 1 4493 # Layers 1 2 3 # Means 57.4801 55.1022 34.5615 # Covariance 1 755.8841 389.1188 165.2408 2 389.1188 451.9519 248.4967 3 165.2408 248.4967 163.7970 # ------------------------------------------------------- # Class ID Number of Cells Class Name 2 1464 # Layers 1 2 3 # Means 142.5451 48.3053 22.8818 # Covariance 1 301.2310 61.3188 -24.5077 2 61.3188 150.2574 102.7169 3 -24.5077 102.7169 103.9020 # ------------------------------------------------------ # Class ID Number of Cells Class Name 3 142 # Layers 1 2 3 # Means 226.2817 94.4225 25.4789 # Covariance 1 1250.7286 448.2489 -11.1146 2 448.2489 302.1464 75.3991 3 -11.1146 75.3991 67.7407 # ------------------------------------------------------ # Class ID Number of Cells Class Name 4 399 # Layers 1 2 3 # Means 161.6867 174.5113 177.4386 # Covariance 1 29.0699 23.6907 32.0523 2 23.6907 65.3359 38.7300 3 32.0523 38.7300 55.1061 # ------------------------------------------------------ # Class ID Number of Cells Class Name 5 1476 # Layers 1 2 3 # Means 0.0589 0.0976 1.2026 # Covariance 1 3.1321 2.4268 3.5081 2 2.4268 2.8922 3.9924 3 3.5081 3.9924 6.7094 # ------------------------------------------------------ # Class ID Number of Cells Class Name 6 225 # Layers 1 2 3 # Means 138.5378 140.1644 168.5600 # Covariance 1 151.4461 120.3978 142.3225 2 120.3978 142.5309 128.7914 3 142.3225 128.7914 149.9618 # ------------------------------------------------------ # Class ID Number of Cells Class Name 7 383 # Layers 1 2 3 # Means 129.2950 146.6136 97.0836 # Covariance 1 72.6745 21.6483 74.7947 2 21.6483 20.2377 38.7392 3 74.7947 38.7392 164.1239 # ------------------------------------------------------ # Class ID Number of Cells Class Name 8 948 # Layers 1 2 3 # Means 251.3091 76.7447 22.7795 # Covariance 1 49.3943 2.3736 -16.1440 2 2.3736 89.0773 13.2319 3 -16.1440 13.2319 12.8732 # ----------------------------------------------------- # Class ID Number of Cells Class Name 9 446 # Layers 1 2 3 # Means 100.0022 61.6861 39.1323 # Covariance 1 50.9685 3.0816 -2.7846 2 3.0816 81.6765 57.7427 3 -2.7846 57.7427 57.0229 # ------------------------------------------------------ # Class ID Number of Cells Class Name 11 244 # Layers 1 2 3 # Means 133.8402 85.3934 84.4672 # Covariance 1 78.2336 -1.2908 -20.0320 2 -1.2908 58.4454 29.1652 3 -20.0320 29.1652 77.5586 # ----------------------------------------------------- # Class ID Number of Cells Class Name 14 186 # Layers 1 2 3 # Means 159.5753 212.3172 163.9677 # Covariance 1 112.8186 197.4165 155.3484 2 197.4165 432.0772 319.2643 3 155.3484 319.2643 265.5773 # ------------------------------------------------------ # Class ID Number of Cells Class Name 15 149 # Layers 1 2 3 # Means 144.9262 154.2483 113.9262 # Covariance 1 191.0824 27.4239 137.5486 2 27.4239 81.4717 13.0252 3 137.5486 13.0252 114.0283 # ----------------------------------------------------- # Class ID Number of Cells Class Name 21 253 # Layers 1 2 3 # Means 235.0514 98.1107 32.6324 # Covariance 1 278.8188 81.3633 -12.5802 2 81.3633 132.3131 36.1639 3 -12.5802 36.1639 38.6699 # ---------------------------------------------------- # Class ID Number of Cells Class Name 23 121 # Layers 1 2 3 # Means 145.3223 143.9669 155.3058 # Covariance 1 21.4536 16.4524 24.5590 2 16.4524 43.2322 14.8685 3 24.5590 14.8685 79.9140
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