The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
—♦— Rational with RPC 
Polynomial ord. 1) 
Rational without PRC(coff.3) 
NO. Control 
Figure 7. Comparison of the results 
Geometric correction results obtained from Rational function 
model by using RPC of IRS P5 stereo images in get better 
result in respect to other methods in all conditions. 
4.2 Information content evaluation of IRS P5 stereo 
images respect to 1:25000 scale maps 
In this section, objects of 5 main classes of 1:25000 scale maps 
evaluated based on information content. 
Objects of building, Road, vegetation cover, hydrology, natural 
classes investigated based on object identification and 
extraction. This evaluation results are shown in the following 
tables: 
Results show that by choosing at least 5 suitable control points 
we can achieve to desirable geometric accuracy by using 
rational function model and polynomial equations. 
Object Name 
It’s can be identify 
It’s can be extract 
No 
Sometime 
Often 
Always 
Didn’t 
Exist 
No 
Sometime 
Often 
Always 
Didn’t 
Exist 
Stadium 
X 
X 
Air Strip 
X 
X 
Tower 
X 
X 
Building Block 
X 
X 
Bridge 
X 
X 
Tunnel 
X 
X 
Gas Station 
X 
X 
Water Well 
X 
X 
Gas or Oil Well 
X 
X 
Fence 
X 
X 
Utility Line 
X 
X 
Wall 
X 
X 
Single Building 
(to scale) 
X 
X 
Single Building 
(symbol) 
X 
X 
Toll Gate 
X 
X 
Delimiter 
X 
X 
Storage (to scale) 
X 
X 
Storage (symbol) 
X 
X 
Ruins 
X 
X 
Square (to scale) 
X 
X 
Square (Symbol) 
X 
x 
Table 8. Building class 
Object Name 
It’s can be identify 
It’s can be extract 
No 
Sometime 
Often 
Always 
Didn’t 
Exist 
No 
Sometime 
Often 
Always 
Didn’t 
Exist 
Railway 
X 
X 
Trolley Line 
X 
X 
Super highway 
X 
X 
Main Road 
X 
X 
Street 
X 
X 
Sideway 
X 
X 
Table 9. Road class 
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