The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
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 
Watercourse 
X 
X 
Cut 
X 
X 
Embankment 
X 
X 
Ridge 
X 
X 
Sandy Dunes 
X 
X 
Salt Flat 
X 
X 
Rock 
X 
X 
Qanat 
X 
X 
Canal 
X 
X 
Pit And Pile 
X 
X 
Floodway 
X 
X 
Table 10. Natural 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 
Waterfall 
X 
X 
Small 
Hydro. Eng. Structure 
X 
X 
Large Water Bodies 
X 
X 
Spring 
X 
X 
River 
X 
X 
Dam 
X 
X 
Stream And Ditch 
"x 
X 
Pool (to scale) 
X 
X 
Pool (symbol) 
X 
X 
Table 11. Hydrology 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 
Orchard 
X 
X 
Single Tree 
X 
X 
Woods 
X 
X 
Row Of Trees 
X 
X 
Cultivated Area 
X 
X 
Grass Land 
X 
X 
Bush Covered Area 
X 
X 
Forest 
X 
X 
Table 12. Vegetation covers class 
5. CONCLUSION 
As we saw in the tables of information content evaluation, the 
IRS P5 stereo images evaluation result from the point of 
geometric accuracy and information content of main object 
such as roads, vegetation cover and some objects in building 
class show these images have ability of 1:25000 scale maps 
revision. For better objects identification and extraction for 
some objects such as objects of vegetation cover class, we can 
combine these images with multispectral images and obtain 
better result. Also ability of stereo viewing, provide possibility 
of better objects extraction such as wall, fence, bridge and also