Parent Topic: MLC

REPORT

An example output listing produced by MLC is shown below. This listing can be directed to any report device (REPORT). In this example, we have produced an 8-class thematic map and a probability output channel, using as input 5 input database channels and 8 class signature segments (created by CSG). The "FULL" maximum likelihood classifier was used. Each row in the table pertains to a particular class. Each column contains the following information:

 Seg            Segment number of class signature
 Name           Name of class signature segment
 Code           Segment value (code) of class signature
                (pixel value used to encode theme map)
 Pixels         Number of pixels in class
 %Image         Percentage of image covered by class
 Thres          Gaussian threshold for class
 Bias           A priori class bias


 MLC  Maximum Likelihood Classifier  V5.3 EASI/PACE  12:11 27-Jan-94
 
 irvine.pix                 [S   10PIC     512P     512L] 14-Aug-91

 Seg Name     Code      Pixels    %Image     Thres      Bias

 17 Water1     10        2728      1.04      4.00     10.00
 18 Water2     20         139      0.05      3.00      5.00
 19 Urban      30       79052     30.16      5.00      1.00
 20 Range      40       97223     37.09      3.00      1.00
 21 Crop1      50       13287      5.07      3.00      1.00
 22 Crop2      60        5632      2.15      3.00      1.00
 23 Crop3      70        8878      3.39      6.00      1.00
 24 Forest     80       53746     20.50      4.00      3.00
 
    NULL        0        1459      0.56
    OVERLAP   255           0      0.00
 
    Total              262144    100.00

Parent Topic: MLC
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