Table 6. Confusion matrix of the test side results for neural network classifier. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
mass Areas Percent Pixels Classified by Code 
1s to 
Code Name Phele | 10 {20 130 | 40 1 so | e) | ® | $0 
anual 10 NewForest 230 957 1 35 | 00 1 00 1 00 | 00 | 00 | 00 
o de 20 Forest 235 21 |949 |] o0 | 00 | 00 | 00 | 00 | 00 
30 Wet siol 293 00 1 00 [9&6 | 03 | 00 | 00 | 00 | 00 
40 Arid soil 344 00 | 00 | 00 [930 | 06 | 00 | 00 | 00 
50 Maize-I 243 00 | 00 | 00 | o0 | 992] 00 | 00 | 00 
fistic 60 Maize-II 241 00 | o0 | 00 | 00 | oo | 996 | o0 | 00 
irc 70 Dry vegetat. 156 00 | 00 | 00 | 00 | oo | 00 | 100 | 00 
80 Stubble-field 227 04 | o0 | oo | o0 | 00 | 00 | 00 | 974 
a 90 Indiv, parcels | 255 00 | 00 | 00 | 00 | 00 | 00 | 00 | 00 
100 Barley I 297 00 | 00 | 03 | 34 | 09 | 90 | 05 | 00 
110 Barley II 275 00 | 00 | 00 | oo | 00 | 00 | 00 | 00 
oned 120 Oil rape I 213 00 | 00 | i4 | 50 100 | 00 100 | 60 
sion. : 130 Oil rape II 210 19 | I9 |] oo | 00 1 00 | 06 | o0 | 13 
140 Wet vegetat. 260 00 | 00 J 00 | 00 | 08 | 00 | 00 | 04 
150 Sunflower - 164 09 | 09 | 09. ] 09 | 09 | 00 190 | 00 
iat e 
d e 
1a no Code | Name Pixels 90 | 100 | 110 | 120 | 130 | 140 | 150 
taçäo 
al de 10 New Forest 230 00 ] 09 | 00 | 00 | 99 | 59 | 09 
20 Forest 235 99 | 00 | 00 | 00 | 30 |] 00 | 06 
30 Wat siol 293 00 | 10 | 09 [090 | 00 | 00 | OD 
40 Arid soil 344 00 | S4 | 09 | DO | 00 | 05 | O0 
50 Maize-I 243 95 | 00 | 00 | 00 | 60 | 0$ | 00 
60 Maize-II 241 00 | 09 [00 | 00 | 00 ] O0 | 04 
A 70 Dry vegetat. 156 900 | 09 1 60 | 09 | 00 | 50 ] 09 
80 Stubble-field 227 00 | 04 {| 04 1 00 [18 [060 | 00 
90 Indiv. parcels 255 984 | 00 | 12 | 04 | 09 1.00 ! 09 
100 Barley I 297 00 | 956 | 00 | 07 | 00 | 00 | 00 
110 Barley II 275 00 | o0 |100 | 00 | 00 | 00 | 00 
120 Oil rape | 213 61 | 00 | 00 [925] oo | 00 | 00 
130 Oil rape II 210 00 | 00 | 99 | 00 1919 | 00 | 00 
140 Wet vegetat. 260 00 | 00 | oo | 00 | 00 | 988 | 00 
150 Sunflower 164 00 | 00 | 00 | 00 | 00 | 00 | 100 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
Figure 4. Classification map for the Figure 5. Classification map for the back- 
maximum likelihood classifier. propagation neural network classifier.