Figure 8. The example of the road area used for evaluation | 
  
  
  
  
   
b of the classification: a) ground truth data, b) Fuzzy-C Means 
classification result c) Maximum Likelihood classification s 
esi dun de A x result. At accuracy assesment for Fig.8, the road had error Hs 
s. EE EXER EE up to 396. It is the result of homogeneous scene and non- a 
: ES Mi . i SEE existance of shadows. In color. i 
BY ra ie 1100 uta aaa * "a^i à 
dE ET TEE ph ie ae hp AME ES sig 
ve v vis DT E pi : , and 
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POOL B i : + SOM 
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Figure 7. The example of the human settlement area used 
  
  
  
  
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Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
for the evaluation of the classification: a) ground truth data, bes 
b) Fuzzy-C Means classification result ¢) Maximum -- A res 
Likelihood classification result. This scene is the most Ma 
complex due to a great number of objects belonging to ; a * b € pro 
different classes. Human settlements have error less than Figure 9. The example of the vegetation area used for wit 
4.8 96, and it would be probabbly even less if there was no evaluation of the classification: a) ground truth data, b) | ati 
mixing of shadows. In determining the ground truth data, Fuzzy-C Means classification result, c) Maximum as: 
error at measuring of the houses area (ground truth data) is Likelihood classification result. Table 1. shows error at Sh: 
In between 28 and 4996 caused by shadows. In color. classification of forest by Fuzzy-C method is 8% in relation | pro 
i to ground data truth on the account of grasss. It is the result | wh 
of insuffficient resolution regarding dimension of the tree | ati 
top. In color. | tit 
lik 
set 
she 
Table 1. 
Accuracy of the classification 
Cluster | descriptio | ground merged merged Fuzzy C- | merged merged 
n truth data | classesI | classes | M. classes] | classes Il 
area % area % area % area % area % area % 
l,Fig.7 | pasture 58.20 58.20 26.60 53.41 53.41 
2.” grass included included | 26.81 included | included 
in 1 in 1 in 1 in 1 
4 " houses 12.96 28.16 41.80 10.26 27.20 46.59 
$; ” houses2 15.20 included included 16.94 included included 
in 4 in 4 in 4 in 4 
3. main road | 13.64 included | 10.49 19.39 included 
in 4 in 4 
6, 7" street included included | 8.91 included | included 
in 3 in 4 in 3 in 4