rain the
By this
n time.
Table 6. Confusion matrix of the test side results for neural network classifier.
Areas Percent Pixels Classified by Code
Code Name Pixels 10 20 30 40 50 60 70 80
10 New Forest 230 95.7 3.5 0.0 0.0 0.0 0.0 0.0 0.0
20 Forest 235 21 94.9 0.0 0.0 0.0 0.0 0.0 0.0
30 Wet siol 293 0.0 0.0 98.6 0.3 0.0 0.0 0.0 0.0
40 And soil 344 0.0 0.0 0.0 93.0 0.6 0.0 0.0 0.0
50 Maize-I 243 0.0 0.0 0.0 0.0 992 0.0 0.0 0.0
60 Maize-II 241 0.0 0.0 0.0 0.0 0.0 99.6 0.0 0.0
70 Dry vegetat. 156 0.0 0.0 0.0 0.0 0.0 0.0 | 100 0.0
80 Stubble-field 227 0.4 0.0 0.0 0.0 0.0 0.0 00 | 97.4
90 Indiv. parcels 255 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
100 Barley I 297 0.0 0.0 0.3 3.4 0.0 0.0 0.0 0.0
110 Barley II 275 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
120 Oil rape I 213 0.0 0.0 1.4 0.0 0.0 0.0 0.0 0.0
130 Oil rape II 210 1.9 1.9 0.0 0.0 0.0 0.0 0.0 43
140 Wet vegetat. 260 0.0 0.0 0.0 0.0 0.8 0.0 0.0 0.4
150 Sunflower 164 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
Code Name Pixels 90 100 110 120 130 140 150
10 New Forest 230 0.0 0.0 0.0 0.0 0.9 0.0 0.0
20 Forest 235 0.0 0.0 0.0 0.0 3.0 0.0 0.0
30 Wet siol 293 0.0 1.0 0.0 0.0 0.0 0.0 0.0
40 And soil 344 0.0 6.4 0.0 0.0 0.0 0.0 0.0
50 Maize-I 243 0.0 0.0 0.0 0.0 0.0 0.8 0.0
60 Maize-II 241 0.0 0.0 0.0 0.0 0.0 0.0 0.4
70 Dry vegetat. 156 0.0 0.0 0.0 0.0 0.0 0.0 0.0
80 Stubble-field 227 0.0 0.4 0.0 0.0 1.8 0.0 0.0
90 Indiv. parcels 255 98.4 0.0 12 0.4 0.0 0.0 0.0
100 Barley I 297 0.0 956 | 0.0 0.7 0.0 0.0 0.0
110 Barley II 275 0.0 0.0 100 0.0 0.0 0.0 0.0
120 Oil rape | 213 6.1 0.0 0.0 925 | 00 0.0 0.0
130 Oil rape II 210 0.0 0.0 0.0 0.0 91.9 0.0 0.0
140 Wet vegetat. 260 0.0 0.0 0.0 0.0 0.0 98.8 0.0
150 Sunflower 164 0.0 0.0 0.0 0.0 0.0 0.0 100
sat: af
Figure 4. Classification map for the
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998
maximum likelihood classifier.
(see Colour plate 8)
Figure 5. Classification map for the back-
propagation neural network classifier.
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