2004 
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
  
FER EG MESS 713 ua 
i ; ^ ot 
1 | 
  
Membership function of Height(meter) 
| 
ee rer ete ere 
4 
Membership function of Area(meter) 
Structural Components 
id 1 s 
a7 
Membership function of Shape 
Y Y = 
Membership function of Relief 
  
Textural Components 
Membership function of Texture 
fie gulae Sufiegula 
ar | 
| 
| 
| 
| 
1 
x 
  
Some Sample Rules: 
THEN Object is Building 
té 
  
4 IF Texture is Regular AND Relief is Very Regular AND Height is Very Tall AND Area is Very Large 
+ IF Texture is Irregular AND Relief is Regular AND Height is Tall AND Area is Large AND Shape is 
Not Stretched THEN Object is Probably Building 
+ IF Texture is Very Irregular AND Relief is Very Irregular AND Green Colour is Deep AND Height is 
Medium AND Area is Small THEN Object is Tree 
IF Texture is Irregular AND Relief is Regular AND Green Colour is Medium AND Height is Medium 
AND Area is Small THEN Object is Probably Tree 
  
  
Figure 6. Linguistic variables and labels, membership functions and some sample of presented rules in 
recognition process 
  
  
NS B LO LE A PF 
Figure 7. Linguistic variables and labels, membership functions and some sample of presented rules in 
region growing process 
4. CONCLUSION 
We believe the foregoing sections and the presented test results 
have demonstrated a promising and comprehensive solution to a 
complicated problem and the evaluation of our OER method 
has indicated its high potentials for extraction and Recognition 
of the 3D GIS objects. 
It should be emphasized, however, that in the preceding 
Sections the main intention was to express the general structure 
of the proposed OER strategy. The principle feature of this 
Strategy is not so much its individual modules that perform 
different tasks, but the methodology itself that governs the 
entire system. 
  
  
925 
  
5. REFERENCES 
Ameri, B., Fritsch, D., 1999. 3-D reconstruction of polyhedral- 
like building models, Archive for photogrammetry and remote 
sensing, Vol 32, Part 3-2W5’, Munich, Germany, pp. 15-20. 
Baltsavias, E., Mason, S. and Stallmann, D., 1995. Use of 
DTMSs/DSMs and orthoimages to support building extraction, in 
A. Gruen, O. Kuebler & P. Agouris, eds, ‘Automatic Extraction 
of Man-Made Objects from Aerial and Space Images’, 
Birkhauser Verlag, Basel, Boston, Berlin,pp.199-210. 
Besl, P. J., Jain, R. C., 1988. Segmentation through variable 
order surface fitting, IEEE Transaction of Pattern Analysis and 
Machine Intelligence, 10(2), 167-192.